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.
... clients. The successful remote collaboration of partners in this project was funded by the Commission of European Communities. We are grateful to the project officer Ralf Hansen and project reviewers Luis Camarinha-Matos and Ann ...
... clients are needed in most stages of the project: to define and redefine the problem, to determine relevant aspects of the problem, to supply the data, to remove errors from the data, to provide constraints on possible patterns, to ...
... client. The individual steps of the CRISP-DM process are the following. 1. Business understanding: understanding and defining of business goals and the actual goals of data mining. 2. Data understanding: familiarization with the data ...
... client problems that can be solved by the use of this technology. For the future we envisage intensive developments in specific domain areas (e.g., bioinformatics, multimedia data, textual and web data) in collaboration with clients and ...
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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