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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... goals of integration, collaboration, education, and business issues. In our work, we were supported also by the Advisory Board, whose main members were Maarten van Someren, David Pearce, Jane McKenzie, Jörg-Uwe Kietz and Sarabjot Singh ...
... goals of statistics is hypothesis testing, one of the main goals of data mining is the generation of understandable hypotheses. To conclude this section, we cite (Friedman, 1997) stating why data mining holds the intellectual, academic ...
... goals and the actual goals of data mining. 2. Data understanding: familiarization with the data and the application domain, by exploring and defining the relevant prior knowledge. 3. Data preparation through data cleaning and ...
... goal of data analysis may be different. Instead of model construction, the goals may be the discovery of individual patterns/rules describing regularities in the data. In the Mediana dataset analysis (see Chapter 11), a task of this ...
... goal of clustering is to partition a set of data into groups, called clusters, such that the members of each group share some interesting common properties. Given data about a set of objects, a clustering algorithm creates groups of ...
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