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.
From inside the book
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COLLABORATIVE DATA MINING WITH RAMSYS AND SUMATRA TT: PREDICTION OF RESOURCES FOR A HEALTH FARM 215 Olga Štěpánková, Jiří Kléma, and Petr Mikšovsky 19. COLLABORATIVE DECISION MAKING: AN ENVIRONMENTAL CASE STUDY 227 Tanja Urbančić, ...
The ultimate purpose of industrial data mining is the use of the resulting patterns to solve some problem: predicting sales or customer loyalty, recognising disease or predicting the effect of medical intervention, ...
His research interests include structure based drug design, structure prediction of biopolymers and Data mining and decision support xxi.
include structure based drug design, structure prediction of biopolymers and machine learning. Maarten van Someren (maartenG) swi.psy.uva.nl) is Lecturer in Artificial Intelligence at the University of Amsterdam.
Numerous data mining methods exist, including predictive data mining methods, which typically result in models that can be used for prediction and classification, and descriptive data mining methods which can be used for exploratory ...
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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