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
Results 1-5 of 55
... and consequently enabling the successful solution of new types of problems. The chapters presented in this book provide a foundation for this new research area at the intersection of data mining and decision support.
... A European Virtual Enterprise' (Soleunet IST-11495, 2000–2003), enabling twelve academic and business teams to form a virtual enterprise aimed at the development of practical data mining and decision-making solutions for clients.
The MiningMart project (Morik and Scholz, 2003) developed methods and tools that include the preprocessing stage and support the construction and use of a database of solutions. The Japanese Active Mining project (Motoda, 2002) extends ...
The solutions are applied to public participation processes, cooperative spatial planning projects and sustainable communication processes for decision-making, problem solving and knowledge sharing.
The birth of this area was triggered by a need in the database industry to deliver solutions enhancing the traditional solutions based upon data management and reporting. Existing core database technology was able to solve the basic ...
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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