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Seven Methods For Transforming Corporate Data Into Business Intelligence


Seven Methods For Transforming Corporate Data Into Business Intelligence
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Seven Methods For Transforming Corporate Data Into Business Intelligence


Seven Methods For Transforming Corporate Data Into Business Intelligence
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Author : Vasant Dhar
language : en
Publisher:
Release Date : 1997

Seven Methods For Transforming Corporate Data Into Business Intelligence written by Vasant Dhar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Artificial intelligence categories.


Information systems: past, present, and emerging; Intelligence density a metric for knowledge work; The vocabulary of intelligence density; Method one: data-driven decision support; Method two: evolving solutions: genetic algorithms; Method three: simulating the brain to solve problems: neural networks; Method four: putting expert resoning in a box: rule-based systems; Method five: dealing with linguistic ambiguity: fuzzy logic; Method six: soilving problems by analogy case-based resoning; Method seven: deriving rules from data: machine learning; Appendix saving time and money with object; Appendix case studies.



Seventh Conference Of The International Society For Scientometrics And Informetrics


Seventh Conference Of The International Society For Scientometrics And Informetrics
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Author : Universidad de Colima
language : en
Publisher: UCOL
Release Date : 1999

Seventh Conference Of The International Society For Scientometrics And Informetrics written by Universidad de Colima and has been published by UCOL this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Reference categories.




Business Information Systems Concepts Methodologies Tools And Applications


Business Information Systems Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2010-06-30

Business Information Systems Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-06-30 with Computers categories.


Business Information Systems: Concepts, Methodologies, Tools and Applications offers a complete view of current business information systems within organizations and the advancements that technology has provided to the business community. This four-volume reference uncovers how technological advancements have revolutionized financial transactions, management infrastructure, and knowledge workers.



Transforming Data Into Knowledge


Transforming Data Into Knowledge
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Author : Jeffrey C. Wayman
language : en
Publisher: Taylor & Francis
Release Date : 2024-08-30

Transforming Data Into Knowledge written by Jeffrey C. Wayman and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Education categories.


This Special Issue includes works on linking data and learning, using student-assessment results, data mining, data decision making for teachers, identifying student's needs with technology and data use in urban high schools. The goals of the Journal of Education for Students Placed At Risk (JESPAR) are to provide the best research-based information possible to professionals involved with improving the education of students placed at risk and to promote the use of that information through effective communications among researchers, policymakers, and practitioners in the field. JESPAR publishes articles geared to academic researchers, policy analysts, and especially to practitioners regarding practical, research-based progress in the field of education for students placed at risk. The journal offers refereed research articles on promising programs; descriptions of promising programs in the field; case studies of schools that work; literature reviews; book and report reviews; regular communications on Title I regulations; and school and district practices from federal, state, and local perspectives.



Optimal Information Modeling Techniques


Optimal Information Modeling Techniques
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Author : Slooten, Kees van
language : en
Publisher: IGI Global
Release Date : 2001-07-01

Optimal Information Modeling Techniques written by Slooten, Kees van and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-01 with Science categories.


Information modeling techniques are used during information systems analysis and design, and are important kinds of techniques, that are part of information systems development methodologies. An optimal information modeling technique may be defined as an information modeling technique that is most appropriate to be applied in a specific situation indicated by certain contingency factors. Optimal Information Modeling Techniques examines these methods and provides the most recent research in the field, to be applied to the management applications of modern organizations.



Knolwedge Management A Resource Book


Knolwedge Management A Resource Book
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Author :
language : en
Publisher: Excel Books India
Release Date :

Knolwedge Management A Resource Book written by and has been published by Excel Books India this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Frontiers Of Engineering


Frontiers Of Engineering
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Author : National Academy of Engineering
language : en
Publisher: National Academies Press
Release Date : 2001-02-07

Frontiers Of Engineering written by National Academy of Engineering and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-02-07 with Technology & Engineering categories.


In 1995 the National Academy of Engineering (NAE) initiated the Frontiers of Engineering Symposium program, which every year brings together 100 of the nation's future engineering leaders to learn about cutting-edge research and technical work in different engineering fields. On September 14-16, 2000, the National Academy of Engineering held its sixth Frontiers of Engineering Symposium at the Academies' Beckman Center in Irvine, California. Symposium speakers were asked to prepare extended summaries of their presentations, and it is those papers that are contained here. The intent of this book, and of the five that precede it in the series, is to describe the content and underpinning philosophy of this unique meeting and to highlight some of the exciting developments in engineering today.



Intelligent And Other Computational Techniques In Insurance


Intelligent And Other Computational Techniques In Insurance
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Author : L. C. Jain
language : en
Publisher: World Scientific
Release Date : 2003

Intelligent And Other Computational Techniques In Insurance written by L. C. Jain and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.


This book presents recent advances in the theory and implementation of intelligent and other computational techniques in the insurance industry. The paradigms covered encompass artificial neural networks and fuzzy systems, including clustering versions, optimization and resampling methods, algebraic and Bayesian models, decision trees and regression splines. Thus, the focus is not just on intelligent techniques, although these constitute a major component; the book also deals with other current computational paradigms that are likely to impact on the industry. The application areas include asset allocation, asset and liability management, cash-flow analysis, claim costs, classification, fraud detection, insolvency, investments, loss distributions, marketing, pricing and premiums, rate-making, retention, survival analysis, and underwriting. Contents: Insurance Applications of Neural Networks, Fuzzy Logic, and Genetic Algorithms; Practical Applications of Neural Networks in Property and Casualty Insurance; An Integrated Data Mining Approach to Premium Pricing for the Automobile Insurance Industry; Population Risk Management: Reducing Costs and Managing Risk in Health Insurance; Using Neural Networks to Predict in the Marketplace; Merging Soft Computing Technologies in Insurance-Related Applications; Robustness in Bayesian Models for BonusOCoMalus Systems; Using Data Mining for Modeling Insurance Risk and Comparison of Data Mining and Linear Modeling Approaches; System Intelligence and Active Stock Trading; The Algebra of Cash Flows: Theory and Application; and other papers. Readership: Graduate students, academics, researchers and practitioners involved with actuarial science, insurance, statistics and management science."



Decision Support Systems For Business Intelligence


Decision Support Systems For Business Intelligence
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Author : Vicki L. Sauter
language : en
Publisher: John Wiley & Sons
Release Date : 2014-08-21

Decision Support Systems For Business Intelligence written by Vicki L. Sauter and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Business & Economics categories.


Praise for the First Edition "This is the most usable decision support systems text. [i]t is far better than any other text in the field" —Computing Reviews Computer-based systems known as decision support systems (DSS) play a vital role in helping professionals across various fields of practice understand what information is needed, when it is needed, and in what form in order to make smart and valuable business decisions. Providing a unique combination of theory, applications, and technology, Decision Support Systems for Business Intelligence, Second Edition supplies readers with the hands-on approach that is needed to understand the implications of theory to DSS design as well as the skills needed to construct a DSS. This new edition reflects numerous advances in the field as well as the latest related technological developments. By addressing all topics on three levels—general theory, implications for DSS design, and code development—the author presents an integrated analysis of what every DSS designer needs to know. This Second Edition features: Expanded coverage of data mining with new examples Newly added discussion of business intelligence and transnational corporations Discussion of the increased capabilities of databases and the significant growth of user interfaces and models Emphasis on analytics to encourage DSS builders to utilize sufficient modeling support in their systems A thoroughly updated section on data warehousing including architecture, data adjustment, and data scrubbing Explanations and implications of DSS differences across cultures and the challenges associated with transnational systems Each chapter discusses various aspects of DSS that exist in real-world applications, and one main example of a DSS to facilitate car purchases is used throughout the entire book. Screenshots from JavaScript® and Adobe® ColdFusion are presented to demonstrate the use of popular software packages that carry out the discussed techniques, and a related Web site houses all of the book's figures along with demo versions of decision support packages, additional examples, and links to developments in the field. Decision Support Systems for Business Intelligence, Second Edition is an excellent book for courses on information systems, decision support systems, and data mining at the advanced undergraduate and graduate levels. It also serves as a practical reference for professionals working in the fields of business, statistics, engineering, and computer technology.



Data Mining


Data Mining
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Author : Ian H. Witten
language : en
Publisher: Elsevier
Release Date : 2011-02-03

Data Mining written by Ian H. Witten and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-02-03 with Computers categories.


Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. - Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects - Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods - Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization