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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For example, in medical decisions, data mining can produce a pattern that can be used to predict the effect of possible treatments. Adding this information to the information pool will allow better decisions than when only the ...
In general one may claim that data mining tries to deal with all sorts of structured tabular data (for example non numeric, highly unbalanced, unclean data) as well as with non-structured data (for example text, images, multimedia, ...
To achieve its full commercial exploitation, data mining is lacking standardization to the degree of, for example, that available in database systems. There are initiatives in this direction, which will diminish the monopoly of ...
In the following sections we outline some data mining tasks, discuss the appropriate methods for solving the tasks and illustrate the results of applying these methods through examples. 3.1 ...
... describing the object) assigns its class to the object. In probabilistic rule sets, all rules that 'fire' are collected and the most probable class of all these rules is assigned. An example rule-set in the form of a decision list ...
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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