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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He has authored the regression tool RT, which won a prize in an international data analysis competition on ecological modeling. He has published several research papers on regression analysis and participated in several consortium ...
This development is due to the advances in data analysis research, growth in the database industry and the resulting needs in the market for methods that are capable of extracting value from the large data stores.
Data mining has recently gained much attention from industry, due to the existence of large collections of data in different formats, and the increasing need for data analysis. In addition to the mining of structured data stored in data ...
Data warehousing/OLAP provided analytical tools enabling only superficial (user-led) analysis of the data, where the user needs to know in advance enough about the data to be able to raise the right questions in order to get the ...
Moreover, the development of hardware will — for example – enable advances in medical research by loading of all the 12.5M abstracts of medical publications (Medline) in the computer internal memory, enabling the analysis of the last 30 ...
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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