Data Mining and Decision Support: Integration and Collaboration
Dunja Mladenic, Nada Lavrač, Marko Bohanec, Steve Moyle
Springer Science & Business Media, Dec 6, 2012 - Computers - 275 pages
Data mining deals with finding patterns in data that are by user-definition, interesting and valid. It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others.
Independently, data mining and decision support are well-developed research areas, but until now there has been no systematic attempt to integrate them. Data Mining and Decision Support: Integration and Collaboration, written by leading researchers in the field, presents a conceptual framework, plus the methods and tools for integrating the two disciplines and for applying this technology to business problems in a collaborative setting.
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DATA MINING PROCESSES AND COLLABORATION PRINCIPLES Alípio Jorge, Steve Moyle, Hendrik Blockeel, and Angi Voß ix xi xiii xvii 15 23 37 49 63 PART II INTEGRATION ASPECTS OF DATA MINING 10. AND DECISION.
Preface The main aim of this book is to present a framework, methods, and tools for the integration of data mining and decision support, as well as their application to business problems in a collaborative setting.
chapter presents the decision support for data mining approach, which is aimed at improving the data mining process by decision support methods, in particular decision support based on the ROC analysis. The second chapter addresses the ...
Foreword The area of data mining is concerned with the discovery of interesting and useful patterns in data. Most scientific research in data mining is aimed at developing better methods that can find more types of patterns in noisy and ...
To achieve integrated data mining / decision making requires including the state-of-the art data mining methods and tools but also a methodology and support for cleaning and preparing the data and standards for representing intermediate ...
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TEXT AND WEB MINING
INTEGRATION OF DATA MINING AND DECISION
COLLABORATION IN A DATA MINING VIRTUAL
DATA MINING PROCESSES AND COLLABORATION
MINING 21 YEARS OF
ANALYSIS OF A DATABASE OF RESEARCH PROJECTS
WEBSITE ACCESS ANALYSIS FOR A NATIONAL
FIVE DECISION SUPPORT APPLICATIONS
COLLABORATIVE DATA MINING WITH RAMSYS
LESSONS LEARNED FROM DATA MINING DECISION
ACADEMIABUSINESS PARTNERSHIP MODELS
PREPROCESSING FOR DATA MINING AND DECISION
DATA MINING AND DECISION SUPPORT INTEGRATION
APPLICATIONS OF DATA MINING
Subject index 271