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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The US project on Evidence Extraction and Link Discovery addresses similar issues but in the context of specific applications such as military decision making and discovering terrorist ...
... with applications in various scientific domains. He has co-authored over 50 publications in these areas. Marko Bohanec (marko.bohanec (G)ijs.si) is a senior researcher at Jožef Stefan Institute, Department of Intelligent Systems, ...
He has worked on various induction-based data analysis applications in medical and marketing domains, and has set up the Internet Data Mining Server. Thomas Gärtner (thomas.gaertner (G)ais.fraunhofer.de) is a PhD candidate at the ...
... inductive logic programming, and intelligent data analysis in medicine. She is a co-author and co-editor of several books, including Inductive Logic Programming: Techniques and Applications, Ellis Horwood, 1994, ...
His research interests include theoretical foundations and applications of data mining. He is a coeditor of the Proceedings of the conference on Principles and Practice of Knowledge Discovery in Databases (PKDD-99), Springer 1999.
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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