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.
From inside the book
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Decision support provides a selection of data analysis, simulation, visualization and modeling techniques, and software tools such as decision support systems, group decision support and mediation systems, expert systems, databases and ...
The chapter describes selected data mining methods that proved useful in the applications described in this book. 1. INTRODUCTION Data mining (Fayyad, et al., 1996, Han and Kamber, 2001, Piatetski-Shapiro and Frawley, ...
... Section 3 describes — in a simplified manner – some data mining techniques that proved to be useful in the development of applications described in this book. Selected data mining applications are outlined in Section 4.
... familiarization with the data and the application domain, by exploring and defining the relevant prior knowledge. 3. Data preparation through data cleaning and preprocessing: creating the relevant data subset through data selection, ...
SELECTED DATA MINING METHODS The most popular predictive data mining techniques are rule and decision tree learning techniques, which are mostly concerned with the discovery of classificatory properties of data tables.
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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