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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It is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization, and others. Decision support is concerned with developing systems aimed at helping decision makers solve problems and ...
His research interests include (relational) data mining, machine learning and inductive logic programming, with applications in various scientific domains. He has co-authored over 50 publications in these areas.
His professional and research interests include knowledge based information systems, decision support systems and machine learning. He has been responsible for several large-scale software development and maintenance projects.
His research interests center on the areas of artificial intelligence, machine learning, data mining and software engineering. His publications include several books and book chapters in these areas. Alípio Jorge (amjorgeŽliacc.up.pt) ...
Her research interests include machine learning, relational data mining, inductive logic programming, and intelligent data analysis in medicine. She is a co-author and co-editor of several books, including Inductive Logic Programming: ...
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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