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Item Details
Title: DATA MINING AND DECISION SUPPORT
INTEGRATION AND COLLABORATION
By: Dunja Mladenic (Editor), Nada Lavrac (Editor), Marko Bohanec (Editor)
Format: Hardback

List price: £139.99


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ISBN 10: 1402073887
ISBN 13: 9781402073885
Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 1 September, 2003
Edition: 2003 ed.
Series: The Springer International Series in Engineering and Computer Science 745
Pages: 275
Description: Data mining is an interdisciplinary area involving databases, machine learning, pattern recognition, statistics, visualization and others. Decision support focuses on developing systems to help decision-makers solve problems. This book presents a conceptual framework, and the methods and tools for integrating the two disciplines.
Synopsis: 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. Decision support focuses on developing systems to help decision-makers solve problems. 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 data warehouses.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.
Illustrations: XXIII, 275 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
Some other items by this author:
ADVANCES IN INTELLIGENT DATA ANALYSIS (PB)
ARTIFICIAL INTELLIGENCE IN MEDICINE (PB)
DATA MINING AND DECISION SUPPORT (PB)
DISCOVERY SCIENCE (PB)
FOUNDATIONS OF RULE LEARNING (HB)
FOUNDATIONS OF RULE LEARNING (PB)
FROM WEB TO SOCIAL WEB - DISCOVERING AND DEPLOYING USER AND CONTENT PROFILES (PB)
INDUCTIVE LOGIC PROGRAMMING (PB)
INDUCTIVE LOGIC PROGRAMMING (PB)
INTELLIGENT DATA ANALYSIS IN MEDICINE AND PHARMACOLOGY (PB)
KNOWLEDGE DISCOVERY ENHANCED WITH SEMANTIC AND SOCIAL INFORMATION (HB)
KNOWLEDGE DISCOVERY ENHANCED WITH SEMANTIC AND SOCIAL INFORMATION (PB)
KNOWLEDGE DISCOVERY IN DATABASES - PKDD 2003 (PB)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES (PB)
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES (PB)
RELATIONAL DATA MINING (HB)
RELATIONAL DATA MINING (PB)
REPRESENTATION LEARNING
REPRESENTATION LEARNING (HB)
SEMANTIC KNOWLEDGE MANAGEMENT (HB)
SEMANTIC KNOWLEDGE MANAGEMENT (PB)
SEMANTIC WEBITE (PB)
STATISTISCHE DATENANALYSE MIT SPSS FUR WINDOWS (PB)
THE SEMANTIC WEB (PB)
WEB MINING - FROM WEB TO SEMANTIC WEB (PB)



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