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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His research interests mainly focus on privacy issues in distributed data mining. ... Her research interests include machine learning, relational data mining, inductive logic programming, ... the Web. Steve Moyle (steve.moyle ...
His research interests include machine learning, relational data mining and web mining. Jan Rauch (rauch Qvse.cz) is Head of the EuroMISE centrum Cardio department and member of the Department of Information and Knowledge Engineering at ...
Related research areas include database technology and data warehouses, statistics, machine learning, pattern recognition and soft computing, text and web mining, and visualization.
Text and web mining deserves special attention, therefore it is described in a separate chapter (Chapter 2 of this volume). This chapter gives an informal introduction to data mining. Section 2 provides the background to data mining, ...
Most of the available tools are capable of mining data in tabular format, describing the dataset in terms of a fixed collection of ... textual and web data) in collaboration with clients and researchers from different application areas.
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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