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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Soleunet is a registered trademark of Alarix d.o.o. Ljubljana. Used with permission. Contents Preface Acknowledgments Foreword Contributing Authors PART I BASIC TECHNOLOGIES.
... about different collaboration aspects in Part IV. Editors: Dunja Mladenić, Nada Lavrač, Marko Bohanec, and Steve Moyle Ljubljana and Oxford Acknowledgments The work reported in this book is a result X Data mining and decision support.
Marko Bohanec (marko.bohanec (G)ijs.si) is a senior researcher at Jožef Stefan Institute, Department of Intelligent Systems, Ljubljana, and assistant professor in information systems at the University of Ljubljana, School of Public ...
Bojan Cestnik (bojan.cestnik Qtemida.si) is the general manager of the software company Temida and a researcher at the Department of Intelligent Systems, Jožef Stefan Institute, Ljubljana, Slovenia. His professional and research ...
Mihael Kline (kline-kline G\siol.net) is assistant professor of consumer psychology, integrated marketing communications and basics of visual communication at the Faculty of social sciences of the University of Ljubljana, Slovenia.
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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