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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Most of the available tools are capable of mining data in tabular format, describing the dataset in terms of a fixed collection of attributes (properties), as is the case with transactional databases. More sophisticated tools are needed ...
In a classification task, data is usually formed from examples (records of given attribute values) which are labeled by the class to which they belong. The task at hand is to find a classifier that will enable a newly encountered ...
A rule set is usually interpreted in a top-down manner as if-then-else rules (a decision list) and the first rule that 'fires' for the object/instance to be classified (the first rule whose conditions satisfy the attribute values ...
... questionnaires available for 1998 — to answer some questions like “What are the attributes of individuals that are consumers of a particular media offer?”, and “Which attributes are distinctive for readers of different journals?
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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