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 is concerned with solving problems by analyzing existing data. ... of these two technologies has a significant impact on the developments of both fields, largely by improving approaches for problem solving in real settings, ...
The ultimate purpose of industrial data mining is the use of the resulting patterns to solve some problem: ... A complementary approach to such problem solving that does not rely on collecting observational data is decision making.
... have recognised the need for methods and tools that include a larger part of the problem solving process than data analysis. A methodology that covers the process from problem definition to presentation and delivery of the resulting ...
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 problem arises in the situations when the data is too complex to be appropriately understood and analyzed by a ... First, as industry needs solutions for real-life problems, one of the most important issues is the problem solving ...
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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