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The Machine Learning and Big Data in Risk Evaluation PhD Scholarship – News – The University of Sydney

1. Background

a. This Scholarship has been established to provide financial assistance to a PhD student to undertake research funded by an ARC Grant headed by Buhui Qiu within the University of Sydney Business School.

b. The project will develop an innovative machine-learning-based approach for measuring, monitoring and evaluating bank lending activities and risk disclosures to take advantage of the big data available. It will use multidimensional data to produce more relevant metrics for assessing bank risks and risk disclosure quality and apply them in regulatory policy evaluation. The project findings will significantly advance the knowledge on mitigating banking misconduct. They will also equip regulatory authorities with an efficient monitoring tool and an early-warning device to promote better lending and risk disclosure practices, and foster a more transparent and stable financial system to support financial intermediation in Australia and worldwide.

a. The Scholarship is offered subject to the applicant having an unconditional offer of admission to study full-time in a PhD within the University of Sydney Business School at the University of Sydney.

b. Applicants must be willing to conduct research into the ARC project mentioned above.

c. Applicants must have Dr Buhui Qiu and Dr Eliza Wu on their supervisory team within University of Sydney Business School.

d. Applicants must hold an Honours degree (First Class or Second Class upper) or a Master's degree in a related field with a substantial research component.

a. The successful applicant will be awarded the Scholarship on the basis of:

I. academic merit,

II. curriculum vitae,

III. a preliminary research proposal which demonstrates an understanding of, and interest in, the area of research

b. The successful applicant will be awarded the Scholarship by the nomination of a selection committee consisting of the Buhui Qiu, an academic supervisor, and the Director of Doctoral Studies in the University of Sydney Business School.

a. The Scholarship will provide a stipend allowance of $35,000 per annum (fixed rate) for three years subject to satisfactory academic performance. An extension of 6 months is possible upon approval from Associate Dean Research.

b. The Scholarship will provide academic course fee for 12 research periods for a PhD student, subject to satisfactory academic performance. An extension of 2 research periods is possible upon approval from Associate Dean Research.

c. The Scholarship is for commencement in relevant research period in which it is offered and cannot be deferred or transferred to another area of research.

d. No other amount is payable.

e. The Scholarship is subject to availability of funding.

a. Progression is subject to passing the annual progress evaluation, maintaining satisfactory progress in coursework and completing school research milestones.

a. Holders of the Scholarship receive up to 20 working days recreation leave every 12 months of the Scholarship and this may be accrued. Any unused leave when the Scholarship is terminated or completed will be forfeited. Recreation leave does not attract a leave loading. The supervisor's agreement must be obtained before leave is taken.

b. Holders of the Scholarship may take up to 10 working days sick leave every 12 months of the Scholarship and this may be accrued over the tenure of the Scholarship. Students with carer responsibility may convert up to five days of their annual sick leave entitlement to carers leave on presentation of medical certificate/s. Students taking sick leave must inform their supervisor as soon as practicable.

c. Holders of the Scholarship may receive additional paid sick leave of up to a total of twelve weeks during their scholarship for medically substantiated periods of illness where the student has insufficient sick leave entitlements available under Clause 6b above. Students applying for additional paid sick leave must do so at the start of absence or as soon as practicable. Periods of additional paid sick leave are added to the duration of the Scholarship.

d. Once female holders of the Scholarship have completed twelve months of their award, they are entitled to a maximum of twelve weeks paid maternity leave during the tenure of the Scholarship if she is the person who gives birth. Students applying for paid maternity leave should do so at least four weeks prior to the expected date of confinement. Periods of paid maternity leave are added to the duration of the Scholarship. Holders of the Scholarship who have not completed twelve months of their award may access unpaid maternity leave through the suspension provisions.

e. For non-birth giving scholarship holders, upon completed twelve months of their award, they are entitled to a maximum of 5 days paid paternity leave. Periods of paid paternity leave are added to the duration of the Scholarship. Holders of the Scholarship who have not completed twelve months of their award may access unpaid maternity leave through the suspension provisions.

a. The Scholarship recipient may not normally conduct research overseas within the first six months of award.

b. The Scholarship holder may conduct up to 12 months of their research outside Australia. Approval must be sought from the student's supervisor, Head of School and the Faculty via application to the Higher Degree by Research Administration Centre (HDRAC), and will only be granted if the research is essential for completion of the degree. All periods of overseas research are cumulative and will be counted towards a student's candidature. Students must remain enrolled full-time at the University and receive approval to count time away.

a. Holders of the Scholarship cannot suspend their award within the first six months.

b. Subject to relevant VISA conditions, holders of the Scholarship may apply for up to 4 research periods suspension for any reason during the tenure of their award. Periods of suspension are cumulative and failure to resume study after suspension will result in the award being terminated. Approval to suspend must be given by the Head of the Department/School concerned. Periods of study towards the degree during suspension of the Scholarship will be deducted from the maximum tenure of the Scholarship.

c. Subject to relevant VISA conditions, female holders of the Scholarship are entitled to up to an additional 4 research periods suspension (less any period of paid maternity leave) following each birth. The Scholarship holder should apply for the suspension within four weeks of the expected date of confinement.

d. Whenever an international student suspends his/her studies the university must report the suspension to immigration authorities and the student may be obliged to return to their home country for the duration of the suspension. Therefore, if an international student wishes to remain in Australia during a period of suspension of studies, they must contact the closest Australian immigration office within 28 days of the approval notice to seek approval to remain in Australia during the suspension.

a. The Scholarship recipient must notify HDRAC, and their supervisor promptly of any planned changes to their enrolment including but not limited to: attendance pattern, suspension, leave of absence, withdrawal, course transfer, and candidature upgrade or downgrade. If the award holder does not provide notice of the changes identified above, the University may require repayment of any overpaid stipend.

a. The Scholarship will terminate:

I. on resignation or withdrawal of the student from their research degree,

II. upon submission of the thesis or at the end of the award,

III. if the student ceases to be a full-time student and prior approval has not been obtained to hold the Scholarship on a part-time basis,

IV. upon the student having completed the maximum candidature for their degree as per the University of Sydney (Higher Degree by Research) Rule 2011 Policy,

V. if the recipient receives an alternative primary stipend scholarship. In such circumstances this Scholarship will be terminated in favour of the alternative stipend scholarship where it is of higher value,

VI. does not resume study at the end of a period of approved leave, or

VII. If the student ceases to meet the eligibility requirements specified for this Scholarship, (other than during a period in which the Scholarship has been suspended or during a period of approved leave).

b. The Scholarship may also be terminated by the University before this time if, in the opinion of the University:

I. the course of study is not being carried out with competence and diligence or in accordance with the terms of this offer,

II. the student fails to maintain satisfactory progress, or

III. the student has committed misconduct or other inappropriate conduct.

c. The Scholarship will be suspended throughout the duration of any enquiry/appeal process.

d. Once the Scholarship has been terminated, it will not be reinstated unless due to University error.

a. Where during the Scholarship a student engages in misconduct, or other inappropriate conduct (either during the Scholarship or in connection with the students application and eligibility for the Scholarship), which in the opinion of the University warrants recovery of funds provided, the University may require the student to repay payments made in connection with the Scholarship. Examples of such conduct include and without limitation; academic dishonesty, research misconduct within the meaning of the Research Code of Conduct (for example, plagiarism in proposing, carrying out or reporting the results of research, or failure to declare or manage a serious conflict of interests), breach of the Code of Conduct for Students and misrepresentation in the application materials or other documentation associated with the Scholarship.

b. The University may require such repayment at any time during or after the Scholarship period. In addition, by accepting this Scholarship, the student consents to all aspects of any investigation into misconduct in connection with this Scholarship being disclosed by the University to the funding body and/or any relevant professional body.

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The Machine Learning and Big Data in Risk Evaluation PhD Scholarship - News - The University of Sydney

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Global Machine Learning Market Industry Analysis and Forecast (2019-2026) by Component, Service, Deployment Model, Organization Size, Vertical, and…

Maximize Market Research has recently published a Global Machine Learning Market 2019 Industry Research Report. It is comprehensive analysis of past and current status Machine Learning Marketwith the forecast till 2027. The report covers the past market from 2017 to 2019 and forecast of 2020 to 2027 with key developments, key trends, M&A activities by value and their strategic intents. The report has analysed complex data and presented in simple format to make it easlier to understand.The Market structure presented in the report gives detailed analysis of market leaders, followers and new entrants by region. Glance at couple of slides will give an idea about the market structure with the market share commanded by leaders, followers and unconsolidated/local but important players.

Request For View Sample Machine Learning Market Report Page : https://www.maximizemarketresearch.com/request-sample/23945

Global Machine Learning Market by Component:

Software ServicesGlobal Machine Learning Market by Service:

Professional Services Managed ServicesGlobal Machine Learning Market by Deployment Model:

Cloud On-premisesGlobal Machine Learning Market by Organization Size:

SMEs Large EnterprisesGlobal Machine Learning Market by Vertical:

BFSI Healthcare and Life Sciences Retail Telecommunication Government and Defense Manufacturing Energy and Utilities OthersMachine Learning Market by Region:

North America Asia-Pacific Europe Latin America Middle East & AfricaKey Players Operated in Market Include:

Amazon Apple Ayasdi Digital Reasoning Darktrace Dataiku Facebook Feedzai Google IBM Watson Luminoso N-iX QBurst Qualcomm Skytree Uber

PORTER, SVOR, PESTEL analysis by region is covered for the companies or individual investors who are looking at specific market for expansion or entry. Micro as well as Macro economic factors are analysed to understand its impact on market growth and key players top lines.The report also helps in comprehending the Machine Learning dynamics, structure by analysing the industry segments and project the Machine Learning Market size. To stand apart, the clear representation of competitive analysis of key market players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Machine Learning Market make the report investors guide.Additionally, the Machine Learning market report 2019 2027, gives the competitive landscape of the global industry by region, key players products and services benchmarking, market domination by segment, pricing and end user penetration, investment in R&D and patents. Couple of slides will give the complete competitive landscape of the industry.

SWOT analysis of player will give a detailed strategic input about the key players in industry by region. Experienced research analysts in the field are following the key players that are profiled in the Machine Learning report that are considered while estimating the market size. Research analyst working in the field for more than ten years, give them advantage to follow same market for years and have become seasoned consultants in the Machine Learning industry.

Do Inquiry Before Purchasing Market Machine Learning Report Here : https://www.maximizemarketresearch.com/inquiry-before-buying/23945

Table of Contents

Browse Complete Machine Learning Report details with ToC and List Of Figures Here: https://www.maximizemarketresearch.com/market-report/global-machine-learning-market/23945/

About Us:Maximize Market Research has served esteemed clients including Yamaha, Boeing, Sensata, Etnyre, Canada, ALCOR M&A, Microsoft, Harman, and other 200 MNCs worldwide. The Company provides B2B and B2C market research on 5000 high growth emerging technologies & opportunities in Transportation, Chemical, Healthcare, Pharmaceuticals, Electronics & Communications, Internet of Things, Food and Beverages, Aerospace and Defense and other manufacturing sectors.We, at Maximize Market Research, are a strong unified team of industry specialists and analysts across sectors to ensure entire Industry ecosystem is taken in perspective, factoring all recent development, latest trends and futuristic the technological impact of uniquely specific industries. In line with the agreed scope and objective of the study, our approach is uniquely custom detailed

Contact Us:Maximize Market Research Pvt ltdPhone: +91 9607195908 / +1 7747752163Email: [emailprotected]

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Global Machine Learning Market Industry Analysis and Forecast (2019-2026) by Component, Service, Deployment Model, Organization Size, Vertical, and...

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Ontario Systems Acquires Pairity to Embed the Power of Machine Learning in Its Industry-Leading Collections Technology – PRNewswire

MUNCIE, Ind., Feb. 23, 2021 /PRNewswire/ --Ontario Systems, a leading provider of enterprise software that automates complex workflows, accelerates revenue recovery and simplifies the payment process for healthcare, accounts receivable management (ARM) and government clients, today announced its acquisition of Pairity, a cutting-edge provider of artificial intelligence (AI) and machine-learning capabilities that allow collection teams to maximize revenue recovery by uncovering new data insights at scale.

Pairity's advanced AI technology extracts and surfaces actionable patterns, allowing collectors to continually adapt their contact strategies. With this integrated functionality, Ontario Systems' collection platforms will help clients significantly enhance productivity and collection results.

"Pairity shares Ontario's commitment to creating intelligent workflow solutions that streamline the collections process and accelerate payments," said Ontario Systems CEO Tim O'Brien. "Pairity's technology strengthens our ability to drive value for our clients and provides another foundation from which we can continue to innovate."

Recognized as the most innovative product at the 2019 CollectTech conference, Pairity allows users to continuously identify accounts with the highest probability of successful collection.Collectors in turn require fewer phone calls to realize value, increasing efficiency and revenue.

"We greatly look forward to joining Ontario," said Greg Allen, CEO of Pairity. "Their proven track record of success in delivering enterprise workflow, collection, and payment solutions is the perfect platform on which to expand the reach of Pairity's innovative approach to collections."

This acquisition follows Ontario Systems' acquisition of SwervePay in May 2020 as part of Ontario Systems' growth and SaaS-transformation strategies designed to deliver faster innovation and increasing business value to thousands of clients nationwide.

About Ontario Systems

Ontario Systems is a premier provider of enterprise technologies that streamline and accelerate revenue recovery for clients in the healthcare, government, and accounts receivable management (ARM) markets. Through process automation and modern communication and payment tools, Ontario Systems helps its clients generate more revenue at reduced cost and engage patients, constituents, and consumers compliantly and effectively.

With offices in Indiana, Massachusetts, New Mexico, and Washington state and employees across the country, Ontario Systems helps 600+ hospital networksincluding 5 of the 15 largest systems in the U.S.optimize cash collections and provide a seamless patient financial experience. Ontario Systems also serves 8 of the 10 largest ARM companies in addition to state and municipal governments nationwide.

About Pairity

Founded on the belief that advanced technology could more effectively address consumer debt for all stakeholders, Pairity offers leading artificial intelligence and machine-learning solutions that assist 40+ companies to manage over $40B of debt more effectively. Pairity's solutions shed light into their over 10 million unique consumers by learning, organizing, and scoring behavior that drives workflow strategy more efficiently. Pairity reduces friction in the collections process by harnessing their intelligence to boost productivity and revenue generating activities.

To learn more about Ontario Systems, visit http://www.ontariosystems.com

PRESS CONTACTDaniel Ward Vice President, Marketing 765-751-7469 [emailprotected]

SOURCE Ontario Systems

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Ontario Systems Acquires Pairity to Embed the Power of Machine Learning in Its Industry-Leading Collections Technology - PRNewswire

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Is machine learning about to replace traditional coaching? TrainerRoad announces Adaptive Training – BikeRadar.com

TrainerRoad has today announced a potentially ground-breaking new feature called Adaptive Training, which will be available to all TrainerRoad subscribers.

Adaptive Training is said to use machine learning, science-based coaching principles and an unprecedented data set to individualise every TrainerRoad workout and training plan to the needs of each athlete.

Previously, TrainerRoad training plans were devised by professional coaches, but individual athletes were then left to their own devices to complete each session as prescribed, unless they employed a professional coach to monitor and optimise their training.

TrainerRoad, an online training ecosystem, says scheduling challenges and training interruptions are a fact of life and that the Adaptive Training function will monitor your performance in every workout you complete, as well as missed sessions or planned time off.

This will help to determine your Progression Levels (i.e. how well your fitness is improving in various aspects) and adapt your future training sessions to keep making improvements.

The new tool tracks performance in previous workouts, as well as any missed sessions, to determine your current Progression Levels. TrainerRoad

TrainerRoad will then use that info to adapt and personalise future workouts, similar to how a real coach might. TrainerRoad

The platform also says another new feature called TrainNow will be able to help athletes who dont follow a specific training plan. By using Progression Levels calculated from recently completed workouts, and using Adaptive Training insights, TrainerRoad will suggest a suitable structured workout to do next.

Every workout is intelligently chosen to be as effective as possible, and to address your unique needs and goals as an athlete, says TrainerRoad CEO Nate Pearson. Adaptive Training combines the science-based coaching principles TrainerRoad is built on, with a data set gleaned from millions of completed workouts. We truly believe this is the future of cycling training.

Online training platforms like TrainerRoad (and its competitors, Zwift, The Sufferfest, and other indoor cycling apps) have offered stock training plans for athletes to follow, at relatively affordable prices, for some time now. However, the traditional achilles heel of these is usually the lack of personalisation.

The wrong training load, or a mis-match between the riders goals and workouts performed, can easily lead to sub-optimal results.

Every athlete is different and following a stock training plan doesnt work for everyone. TrainerRoads new Adaptive Training tool is designed to solve this problem. TrainerRoad

In contrast, when you sign up with a real life cycling coach, they will help optimise your training load, fitness progression and training specificity, as well as adjust your future workouts to help you manage the rest of lifes challenges.

The downside is that a human coach can often be relatively expensive because this personal touch requires a lot of expertise and time investment.

TrainerRoads new Adaptive Training tool seems to suggest it can provide the best of both worlds, combining the accessibility of online training plans with the adaptability and personalised nature of a real-life coach.

Exactly how well it works in practice remains to be seen, of course, but its undoubtedly an exciting prospect.

The Adaptive Training feature is currently in closed beta, and TrainerRoad has not confirmed a precise release date. It does say, however, that individual aspects of the tool will begin rolling out soon, starting with TrainNow and data-driven updates to existing TrainerRoad training plans.

For those who cant wait, TrainerRoad says subscribers keen to get early access to the new tools can request priority access via TrainerRoad.com.

Excerpt from:
Is machine learning about to replace traditional coaching? TrainerRoad announces Adaptive Training - BikeRadar.com

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Current Scenario of Data Mining Software Market by Trends, Drivers, Strategies, Applications and Competitive Landscape The Bisouv Network – The…

A recently updated research study on Global Data Mining Software Market by In4Research provides a detailed overview of the factors influencing the global business scope. The research report shows the latest market insights, current situation analysis with upcoming trends, and breakdown of the products and services. The report provides key statistics on the market status, size, share, growth factors of Data Mining Software. The study covers major player data, including competitive landscape, sales, revenue, and global market share of leading players in the Data Mining Software industry.

Insightful Highlights in Global Data Mining Software Market Report are:

For more information on Data Mining Software Market, Get a sample pdf at https://www.in4research.com/sample-request/19190

Major Key Players Covered in Report are:

Data Mining Software Market Segmentation by Type:

Data Mining Software Market Segmentation by Application:

Regional Analysis of Data Mining Software Market:

Due to its regional focus, the Data Mining Software market is alien to North America, Europe, Asia-Pacific, the Middle East, and Africa as well as Latin America. Major companies are working on distributing their products and services across different regions. In addition, procurements, and associations from some of the leading organizations. All the factors intended to drive the global Data Mining Software market are examined in depth.

Customization of the Report:

This report can be customized to meet the clients requirements. Please connect with our sales team, who will ensure that you get a report that suits your needs. You can connect with our executives at https://www.in4research.com/customization/19190

Data Mining Software Market Dynamics:

The various factors that can boost the Data Mining Software market growth in the current situation as well as in the coming years have been discussed in detail. The interplay of demand and supply forces in this market along with the factors affecting them have been analyzed. The internal and external factors affecting the market in terms of growth have been studied by this market study. The pricing policies used and the effect they have on consumer behavior have been studied for various regions of the Data Mining Software market. The study conducted looks at the upstream as well as the downstream aspects of the market.

The Covid19 pandemic has transformed the market landscape. The market ecosystem has taken a directional shift in the way the supply-side of the market is accessed. The report covers the aftermath of the Covid19 catastrophe.

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Chapters Include in Global Data Mining Software Market Research Report 2020 2026

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Current Scenario of Data Mining Software Market by Trends, Drivers, Strategies, Applications and Competitive Landscape The Bisouv Network - The...

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Data Mining Tools Market Industry Analysis and Forecast (2019-2027) The Bisouv Network – The Bisouv Network

Maximize Market Research has recently published a Global Data Mining Tools Market 2019 Industry Research Report. It is comprehensive analysis of past and current status Data Mining Tools Marketwith the forecast till 2027. The report covers the past market from 2017 to 2019 and forecast of 2020 to 2027 with key developments, key trends, M&A activities by value and their strategic intents. The report has analysed complex data and presented in simple format to make it easlier to understand.

The Market structure presented in the report gives detailed analysis of market leaders, followers and new entrants by region. Glance at couple of slides will give an idea about the market structure with the market share commanded by leaders, followers and unconsolidated/local but important players.

PORTER, SVOR, PESTEL analysis by region is covered for the companies or individual investors who are looking at specific market for expansion or entry. Micro as well as Macro economic factors are analysed to understand its impact on market growth and key players top lines.The report also helps in comprehending the Data Mining Tools dynamics, structure by analysing the industry segments and project the Data Mining Tools Market size. To stand apart, the clear representation of competitive analysis of key market players by product, price, financial position, product portfolio, growth strategies, and regional presence in the Data Mining Tools Market make the report investors guide.Additionally, the Data Mining Tools market report 2019 2027, gives the competitive landscape of the global industry by region, key players products and services benchmarking, market domination by segment, pricing and end user penetration, investment in R&D and patents. Couple of slides will give the complete competitive landscape of the industry.

Request For View Sample Data Mining Tools Market Report Page : https://www.maximizemarketresearch.com/request-sample/11529

By segments, the market is divided intoData Mining Tools Market scope:-Data Mining Tools Market,By Service

Consulting Managed OthersData Mining Tools Market,By Function

Marketing Finance Operations OthersData Mining Tools Market, By Deployment Type

Stationary MobileData Mining Tools Market, By Component

Tools ServicesData Mining Tools Market, By Organization Size

Large Enterprise Small & Medium EnterpriseData Mining Tools Market, By Industry Vertical

Retail Healthcare and Life Sciences Banking, Financial Services, and Insurance Energy and Utilities Government Manufacturing IT and Telecommunication OthersData Mining Tools Market, By Geography

North America Europe Asia-Pacific Middle East & Africa Latin America

Data Mining Tools Market Key Players operating in the market:

SAP SE SAS Institute Oracle Intel IBM Corporation Microsoft Corporation

SWOT analysis of player will give a detailed strategic input about the key players in industry by region. Experienced research analysts in the field are following the key players that are profiled in the Data Mining Tools report that are considered while estimating the market size. Research analyst working in the field for more than ten years, give them advantage to follow same market for years and have become seasoned consultants in the Data Mining Tools industry.

Do Inquiry Before Purchasing Market Data Mining Tools Report Here : https://www.maximizemarketresearch.com/inquiry-before-buying/11529

Table of Contents

Browse Complete Data Mining Tools Report details with ToC and List Of Figures Here: https://www.maximizemarketresearch.com/market-report/data-mining-tools-market/11529/

About Us:Maximize Market Research has served esteemed clients including Yamaha, Boeing, Sensata, Etnyre, Canada, ALCOR M&A, Microsoft, Harman, and other 200 MNCs worldwide. The Company provides B2B and B2C market research on 5000 high growth emerging technologies & opportunities in Transportation, Chemical, Healthcare, Pharmaceuticals, Electronics & Communications, Internet of Things, Food and Beverages, Aerospace and Defense and other manufacturing sectors.We, at Maximize Market Research, are a strong unified team of industry specialists and analysts across sectors to ensure entire Industry ecosystem is taken in perspective, factoring all recent development, latest trends and futuristic the technological impact of uniquely specific industries. In line with the agreed scope and objective of the study, our approach is uniquely custom detailed

Contact Us:Maximize Market Research Pvt ltdPhone: +91 9607195908 / +1 7747752163Email: [emailprotected]

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Data Mining Tools Market Industry Analysis and Forecast (2019-2027) The Bisouv Network - The Bisouv Network

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Lifesciences Data Mining and Visualization Set to Witness YoY Growth by 2021-2030 NeighborWebSJ – NeighborWebSJ

Market Overview of Lifesciences Data Mining and Visualization Market

The Lifesciences Data Mining and Visualization market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

The globalLifesciences Data Mining and Visualization Market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of xx%% in the forecast period of 2020 to 2025 and will expected to reach USD xx million by 2025, from USD xx million in 2019.

Get PDF Sample Copy of this Report to understand the structure of the complete report: (Including Full TOC, List of Tables & Figures, Chart) @ https://www.researchmoz.com/enquiry.php?type=S&repid=2829134&source=atm

Competitive Landscape

Key players of the global Lifesciences Data Mining and Visualization market are profiled on the basis of various factors, which include recent developments, business strategies, financial strength, weaknesses, and main business. The Lifesciences Data Mining and Visualization report offers a special assessment of top strategic moves of leading players such as merger and acquisition, collaboration, new product launch, and partnership.

The key players covered in this study

Regional analysis is another highly comprehensive part of the research and analysis study of the global Lifesciences Data Mining and Visualization market presented in the report. This section sheds light on the sales growth of different regional and country-level Lifesciences Data Mining and Visualization markets. For the historical and forecast period 2015 to 2025, it provides detailed and accurate country-wise volume analysis and region-wise market size analysis of the global Lifesciences Data Mining and Visualization market.

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Market segmentation

Lifesciences Data Mining and Visualization market is split by Type and by Application. For the period 2015-2025, the growth among segments provide accurate calculations and forecasts for sales by Type and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.

Segment by Type, the product can be split into

====================

Market Segment by Application, split into

====================

The report offers in-depth assessment of the growth and other aspects of the Lifesciences Data Mining and Visualization market in important countries (regions), including:

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, etc.)

Middle East & Africa (Saudi Arabia, Egypt, Nigeria and South Africa)

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The content of the study subjects, includes a total of 15 chapters:

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Lifesciences Data Mining and Visualization Set to Witness YoY Growth by 2021-2030 NeighborWebSJ - NeighborWebSJ

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Data Mining Software Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts,…

The market research report on global Data Mining Software market comprises of the in-depth study of all the market related aspects. The report includes all the vital data related to past statistics and the forecast for the future. The global Data Mining Software report also covers some of the vital factors considered in market research such as key players, regions, production, market share, etc. The past data covered in the given report helps in understanding the changing market dynamics throughout the years. The market report also provides users with necessary data regarding market valuation in the past and also the predicted number for market value in the forecasted period. The research report on global Data Mining Software market holds all the crucial data about the market growth patterns over the years and also the study of restraints and factors driving this growth.

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IBMRapidMinerGMDHSAS InstituteOracleAptecoUniversity of LjubljanaSalford SystemsLexalytics

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Furthermore, the report also offers deep insights about the major investments. The market research report also provides all the necessary information about product knowledge, industry growth, end users, profitability, revenue, etc. The market report also provides all the necessary data regarding the past market valuation and also the predicted number for market value in the forecasted period. The global Data Mining Software market report offers a deep analysis of all the key vendors on global level. The research report on global Data Mining Software market includes of all the crucial information regarding customers, Products, vendors, manufacturers and much more. The global Data Mining Software market report offers deep analysis of all the trends and techniques being in introduced in the market. The Data Mining Software market research report acts as a complete guide for the investors looking for opportunities in the market.

Cloud basedOn premise

Market segment by Application, Data Mining Software can be split intoLarge EnterpriseSMB

Browse Complete Data Mining Software Market Report @ https://www.orbisresearch.com/reports/index/global-data-mining-software-market-size-status-and-forecast-2025?utm_source=Atish

The research report on global Data Mining Software market offers a comprehensive analysis of industry in orders order to deliver crucial data regarding performance of the vendors, state of competition, sales, etc. The report also includes the deep analysis of all the major partnerships and collaborations among the players in the market. The research report covers the analysis of all the leading and influential market entities and their performance over the past years and prediction for revenues in the forecasted period. It also includes an in-depth overview backed by accurate price and revenue figures (global level) per player over the prediction period. The research also provides comprehensive review of industry events, innovations and operational business decisions. The research report is considered as a complete guide to study the dynamics associated with the global market.About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements. We have vast database of reports from the leading publishers and authors across the globe. We specialize in delivering customized reports as per the requirements of our clients. We have complete information about our publishers and hence are sure about the accuracy of the industries and verticals of their specialization. This helps our clients to map their needs and we produce the perfect required market research study for our clients.

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Data Mining Software Market Size, Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts,...

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Insights on the Bio-based Epoxy Resins Global Market to 2027 – Featuring Pond, Bitrez and Sicomin Epoxy Systems Among Others – GlobeNewswire

Dublin, Feb. 26, 2021 (GLOBE NEWSWIRE) -- The "Bio-based Epoxy Resins Market Share, Size, Trends, Industry Analysis Report, By Ingredient; By Application; By Regions; Segment Forecast, 2020-2027" report has been added to ResearchAndMarkets.com's offering.

The global bio-based epoxy resins market expected to reach USD 117.0 million by 2027, according to the study. The report gives a detailed insight into current market dynamics and provides analysis on future market growth.

The global bio-based epoxy resins industry is driven by strong government intent towards decreasing carbon footprint, abundant natural feedstock in the emerging nations, and innovations in the epoxy resin systems. Moreover, the growth outlook in various end-use industries also boosting the sales of bio-based epoxies.

The global bio-based epoxy resins industry is fragmented based on ingredient, application, and region. In terms of ingredient, the market for bio-based epoxy resins is segmented into vegetable, glycerol, canola, hemp, soya bean oil, plant oils, and others. The market segment is further divided into coatings, electronics, adhesives, food industry, composites, and others.

Segment Highlights

Key Topics Covered:

1. Introduction1.1. Report Description1.1.1. Objectives of the Study1.1.2. Market Scope1.1.3. Assumptions1.2. Stakeholders

2. Executive Summary2.1. Market Highlights

3. Research Methodology3.1. Overview3.1.1. Data Mining3.2. Data Sources3.2.1. Primary Sources3.2.2. Secondary Sources

4. Bio-based Epoxy Resins Market Insights4.1. Bio-based Epoxy Resins - Industry snapshot4.2. Bio-based Epoxy Resins Market Dynamics4.2.1. Drivers and Opportunities4.2.1.1. Innovations in the bio-based epoxy resin systems4.2.1.2. Increasing demand in several application industries4.2.2. Restraints and Challenges4.2.2.1. Fluctuations in raw material prices4.3. Porter's Five Forces Analysis4.3.1. Bargaining Power of Suppliers (Moderate)4.3.2. Threats of New Entrants: (Low)4.3.3. Bargaining Power of Buyers (Moderate)4.3.4. Threat of Substitute (Moderate)4.3.5. Rivalry among existing firms (High)4.4. PESTLE Analysis4.5. Bio-based Epoxy Resins Market Industry trends

5. Bio-based Epoxy Resins Market Assessment by Ingredient5.1. Key Findings5.2. Introduction5.2.1. Global Bio-based Epoxy Resins Market, By Ingredient, 2016-2027 (USD Million)5.3. Vegetable5.3.1. Global Bio-based Epoxy Resins Market, by Vegetable, by Region, 2016-2027 (USD Million)5.4. Glycerol5.4.1. Global Bio-based Epoxy Resins Market, by Glycerol, by Region, 2016-2027 (USD Million)5.5. Canola5.5.1. Global Bio-based Epoxy Resins Market, by Canola, by Region, 2016-2027 (USD Million)5.6. Hemp5.6.1. Global Bio-based Epoxy Resins Market, by Hemp, by Region, 2016-2027 (USD Million)5.7. Soyabean Oil5.7.1. Global Bio-based Epoxy Resins Market, by Soyabean Oil, by Region, 2016-2027 (USD Million)5.8. Plant Oils5.8.1. Global Bio-based Epoxy Resins Market, by Plant Oils, by Region, 2016-2027 (USD Million)5.9. Others5.9.1. Global Bio-based Epoxy Resins Market, by Others, by Region, 2016-2027 (USD Million)

6. Global Bio-based Epoxy Resins Market, by Application6.1. Key Findings6.2. Introduction6.2.1. Global Bio-based Epoxy Resins Market, By Application, 2016-2027 (USD Million)6.3. Coatings6.3.1. Global Bio-based Epoxy Resins Market, by Coatings, By Region, 2016-2027 (USD Million)6.4. Electronics6.4.1. Global Bio-based Epoxy Resins Market, by Electronics, by Region, 2016-2027 (USD Million)6.5. Adhesives6.5.1. Global Bio-based Epoxy Resins Market, by Adhesives, by Region, 2016-2027 (USD Million)6.6. Food Industry6.6.1. Global Bio-based Epoxy Resins Market, by Food Industry, by Region, 2016-2027 (USD Million)6.7. Composites6.7.1. Global Bio-based Epoxy Resins Market, by Composites, by Region, 2016-2027 (USD Million)6.8. Others6.8.1. Global Bio-based Epoxy Resins Market, by Other Applications, by Region, 2016-2027 (USD Million)

7. Bio-based Epoxy Resins Market Assessment by Geography7.1. Key findings7.2. Introduction7.3. Bio-based Epoxy Resins Market - North America7.4. Bio-based Epoxy Resins Market - Europe7.5. Bio-based Epoxy Resins Market - Asia-Pacific7.6. Bio-based Epoxy Resins Market - Middle East & Africa7.7. Bio-based Epoxy Resins Market - Latin America

8. Competitive Landscape8.1. Expansion and Acquisition Analysis8.1.1. Expansion8.1.2. Acquisition8.2. Partnerships/Collaborations/Agreements/Exhibitions

9. Company Profiles9.1. Pond ApS9.1.1. Company Overview9.1.2. Financial Performance9.1.3. Ingredients/Product Benchmarking9.1.4. Recent Developments9.2. Bitrez Ltd9.2.1. Company Overview9.2.2. Financial Performance9.2.3. Ingredients/Product Benchmarking9.2.4. Recent Developments9.3. Sicomin Epoxy Systems9.3.1. Company Overview9.3.2. Financial Performance9.3.3. Ingredients/Product Benchmarking9.3.4. Recent Developments9.4. Entropy Resins (acquired by Gougeon Brothers Inc.)9.4.1. Company Overview9.4.2. Financial Performance9.4.3. Ingredients/Product Benchmarking9.4.4. Recent Developments9.5. Wessex Resins9.5.1. Company Overview9.5.2. Financial Performance9.5.3. Ingredients/Product Benchmarking9.5.4. Recent Developments9.6. Chang Chun Group9.6.1. Company Overview9.6.2. Financial Performance9.6.3. Ingredients/Product Benchmarking9.6.4. Recent Developments9.7. Nagase ChemteX Corporation9.7.1. Company Overview9.7.2. Financial Performance9.7.3. Ingredients/Product Benchmarking9.7.4. Recent Developments9.8. Spolchemie9.8.1. Company Overview9.8.2. Financial Performance9.8.3. Ingredients/Product Benchmarking9.8.4. Recent Developments9.9. Specific Polymers9.9.1. Company Overview9.9.2. Financial Performance9.9.3. Ingredients/Product Benchmarking9.9.4. Recent Developments9.10. Stahl Holdings B.V.9.10.1. Company Overview9.10.2. Financial Performance9.10.3. Ingredients/Product Benchmarking9.10.4. Recent Developments

For more information about this report visit https://www.researchandmarkets.com/r/k1ga0p

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Insights on the Bio-based Epoxy Resins Global Market to 2027 - Featuring Pond, Bitrez and Sicomin Epoxy Systems Among Others - GlobeNewswire

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Smart Mining Market Forecast, Trend Analysis, Competition Tracking, Product Launches and Development Global Review 2021 to 2027 KSU | The Sentinel…

Global Smart Mining Market Size, Status And Forecast 2021-2027

The report provides a unique tool for evaluating the Smart Mining Market, highlighting opportunities, and supporting strategic and tactical decision-making. This report recognizes that in this rapidly-evolving and competitive environment, up-to-date marketing information is essential to monitor performance and make critical decisions for growth and profitability. It provides information on trends to identify emerging technologies and developments, and focuses on markets capacities and on the changing structure of the Smart Mining Industry.

Market Review:

The global smart mining market size is expected to reach $24,047.6 million in 2027, from $9,256.7 million in 2019, growing at a CAGR of 13.0% from 2020 to 2027. Smart mining is a process that uses information, autonomy, and technology to obtain enhanced safety, reduce operational costs, and gain better productivity for a mine site. Mining corporations emphasize on enhancing productivity by providing state-of-the-art software & solutions. It also comprises remote-controlled robotic equipment for mineral & metal extraction, which is stated as telerobotic mining, and decreases the danger for miners.

(Special Offer: Available Flat 20% Discount for a limited time only):

Get a Free Sample Copy of the Report:

https://www.marketinsightsreports.com/reports/03121895627/global-smart-mining-market-size-status-and-forecast-2021-2027/inquiry?source=cole&Mode=54

Smart Mining Global Market Report from Market Insights Reports covers market characteristics, size and growth, segmentation, regional breakdowns, competitive landscape, market shares, trends and strategies for this market.

Top Companies in the Global Smart Mining Market: ABB Ltd.,Atlas Copco,Caterpillar Inc.,Hitachi Construction Machinery Co. Ltd.,Joy Global Inc.,Komatsu Ltd.,Outotec Oyj,Cisco Systems Inc.,Alcatel-Lucent and others.

Many competitors in the market adopted product launch as their key developmental strategy to expand their smart mining product portfolio for the technological upgradations. For instance, in July 2019, the company ABB launched ABB Ability Operations Management System for real-time integration in underground and open-pit mines. It maximizes the co-ordination between dynamic situations, weekly production plans in mining, which in turn increases productivity, improve efficiency, and maximizes productivity. Similarly, the players are also adopting agreement strategy to offer better products and services in the smart mining industry. For instance, in May 2019, the company Caterpillar entered into an agreement with Rio Tinto, a mining company based in the UK. Under the agreement, both the companies collaboratively created an automated mine operation system using data analytics and integration to offer optimized production, enhanced safety, increase mining machinery utilization, and reduce operational costs.

This report segments the global Smart Mining market on the basis of Types are:

On the basis of Application, the Global Smart Mining market is segmented into:

For comprehensive understanding of market dynamics, the global Smart Mining market is analyzed across key geographies namely: United States, China, Europe, Japan, South-east Asia, India and others. Each of these regions is analyzed on basis of market findings across major countries in these regions for a macro-level understanding of the market.

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https://www.marketinsightsreports.com/reports/03121895627/global-smart-mining-market-size-status-and-forecast-2021-2027/discount?source=cole&mode=54

-Comprehensive assessment of all opportunities and risk in the Smart Mining market.

-Smart Mining market recent innovations and major events.

-Detailed study of business strategies for growth of the Smart Mining market-leading players.

-Conclusive study about the growth plot of Smart Mining market for forthcoming years.

-In-depth understanding of Smart Mining market-particular drivers, constraints and major micro markets.

-Favourable impression inside vital technological and market latest trends striking the Smart Mining market.

Browse the report description and TOC:

https://www.marketinsightsreports.com/reports/03121895627/global-smart-mining-market-size-status-and-forecast-2021-2027?source=cole&Mode=54

Table of Content

1 Introduction of Global Smart MiningMarket

1.1 Overview of the Market

1.2 Scope of Report

1.3 Assumptions

2 Executive Summary

3 Research Methodology

3.1 Data Mining

3.2 Validation

3.3 Primary Interviews

3.4 List of Data Sources

4 Global Smart MiningMarket Outlook

4.1 Overview

4.2 Market Dynamics

4.2.1 Drivers

4.2.2 Restraints

4.2.3 Opportunities

4.3 Porters Five Force Model

4.4 Value Chain Analysis

5 Global Smart MiningMarket, By Deployment Model

5.1 Overview

6 Global Smart MiningMarket, By Solution

6.1 Overview

7 Global Smart MiningMarket, By Vertical

7.1 Overview

8 Global Smart MiningMarket, By Geography

8.1 Overview

8.2 North America

8.2.1 U.S.

8.2.2 Canada

8.2.3 Mexico

8.3 Europe

8.3.1 Germany

8.3.2 U.K.

8.3.3 France

8.3.4 Rest of Europe

8.4 Asia Pacific

8.4.1 China

8.4.2 Japan

8.4.3 India

8.4.4 Rest of Asia Pacific

8.5 Rest of the World

8.5.1 Latin America

8.5.2 Middle East

9 Global Smart MiningMarket Competitive Landscape

9.1 Overview

9.2 Company Market Ranking

9.3 Key Development Strategies

10 Company Profiles

10.1.1 Overview

10.1.2 Financial Performance

10.1.3 Product Outlook

10.1.4 Key Developments

11 Appendix

Customization of the Report: This report can be customized as per your needs for additional data up to 3 companies or countries or 40 analyst hours.

MarketInsightsReports provides syndicated market research on industry verticals including Healthcare, Information and Communication Technology (ICT), Technology and Media, Chemicals, Materials, Energy, Heavy Industry, etc.MarketInsightsReports provides global and regional market intelligence coverage, a 360-degree market view which includes statistical forecasts, competitive landscape, detailed segmentation, key trends, and strategic recommendations.

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Smart Mining Market Forecast, Trend Analysis, Competition Tracking, Product Launches and Development Global Review 2021 to 2027 KSU | The Sentinel...

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