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.
Results 1-5 of 45
TEXT AND WEB MINING Dunja Mladenič and Marko Grobelnik 3. DECISION SUPPORT Marko Bohanec 4. INTEGRATION OF DATA MINING AND DECISION SUPPORT Nada Lavrač and Marko Bohanec 5. COLLABORATION IN A DATA MINING VIRTUAL ORGANIZATION Steve Moyle ...
Data mining is concerned with solving problems by analyzing existing data. It is the core of the knowledge ... The first two chapters cover data mining and the specific area of text and web mining. The next two chapters describe ...
Part III describes in detail real-life applications of data mining and decision support. These applications are drawn from the following domains: mass media, road traffic accidents, collaborating research organizations, Web site logs, ...
His research interests cover machine learning, cost-sensitive learning, relational data mining, and declarative programming. ... His research interests are the study and development of data, text and Web mining techniques and their ...
His research covers (collaborative) data mining, including association and classification rules, and Web mining. He has organized several international conferences and other events in artificial intelligence and data mining.
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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