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.
Pattern recognition and soft computing typically provide techniques for classifying data items. - Text and web mining are used for web page analysis; text categorization; the acquisition, filtering and structuring of textual information ...
Numerous data mining methods exist, including predictive data mining methods, which typically result in models that can be used for prediction and classification, and descriptive data mining methods which can be used for exploratory ...
The major difference between both OLTP and OLAP is the average number of records accessed per typical operation. While a typical operation in OLTP affects only in the order of ten records in pre-defined scenarios, a typical operation in ...
... rule and decision tree learning techniques, which are mostly concerned with the discovery of classificatory properties of data tables. Data represented in tables may be collected typically from measurements or acquired from clients.
The expert's explanation was that this is a rather typical situation, where drivers (mostly female) panic, suddenly step on a brake, and get hit by an impatient (mostly male) driver from behind. Further analysis, using association rules ...
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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