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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The work described in this book was supported also by the following national research grants: – The Slovenian Ministry of Education, Science and Sport, – The FEDER and Programa de Financiamento Plurianual de Unidades de I&D (FCT), ...
Graduate students specializing in data mining and decision support will benefit from increased awareness of some new, non-conventional methods, which proved useful in the practical applications described in the book.
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, ...
Text and web mining deserves special attention, therefore it is described in a separate chapter (Chapter 2 of this volume). This chapter gives an informal introduction to data mining. Section 2 provides the background to data mining, ...
A sample decision tree, induced from the media survey data (described in Chapter 11) classifying people into readers and non-readers of a teenage magazine, is shown in Figure 1-1. Traversing the tree to classify an instance with Age ...
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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