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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... data mining and decision-making solutions for 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 ...
... data for the SPA project, and Štěpán Lauryn who was very helpful in all phases of the project, — Chapter 22: Matjaž Maček for his consultancy concerning the principal–agent theory and Andrej Orel for the collaboration in studying IPR ...
... data mining involves the development of tools for visualisation of data and the resulting patterns, standards for representing data and patterns and business aspects such as project planning and feasibility assessment. In practice data ...
... project 'Data Mining and Decision Support for Business Competitiveness: A European Virtual Enterprise' (Mladenič and Lavrač, 2003), is to take the scope of the methods and tools one step further, covering the business and collaboration ...
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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