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 final two chapters of Part II describe the integration of data mining and decision support in data pre-processing, and through model standardization and visualization. Part III describes in detail real-life applications of data ...
He works on adaptive hypertext and data mining, and teaches artificial intelligence and software engineering at the Open University of Portugal (Universidade Aberta). He has worked on natural language processing and computational logic ...
Her interests and work cover human information processing, human sexuality, education, e-communication, machine learning, data mining, and decision making from both the human and the computer standpoint. Marko Grobelnik (marko.grobelnik ...
His research interests include database systems, uncertainty processing, object-oriented design and programming, and formal design of software systems. He is the (co-)author of more than 50 publications in these fields.
Chapter 1 DATA MINING Nada Lavrač and Marko Grobelnik Abstract: This chapter gives an informal introduction to data mining, ... the acquisition, filtering and structuring of textual information; and for natural language processing.
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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