Data Mining and Decision Support
. Ed(s): Mladenic, Dunja; Lavrac, Nada; Bohanec, Marko (Jozef Stefan Institute, Ljubljana, Slovenia); Moyle, Steve (Computing Laboratory, University
ISBN 10: 1402073887 ISBN 13: 9781402073885
Edité par Kluwer Academic Publishers, 2003
Neuf(s)
Couverture rigide
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A propos de cet article
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. Editor(s): Mladenic, Dunja; Lavrac, Nada; Bohanec, Marko (Jozef Stefan Institute, Ljubljana, Slovenia); Moyle, Steve (Computing Laboratory, University of Oxford, UK). Series: The Springer International Series in Engineering and Computer Science. Num Pages: 275 pages, biography. BIC Classification: UN. Category: (P) Professional & Vocational. Dimension: 240 x 165 x 23. Weight in Grams: 566. . 2003. Hardback. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9781402073885
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.
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Détails bibliographiques
Titre : Data Mining and Decision Support
Éditeur : Kluwer Academic Publishers
Date d'édition : 2003
Reliure : Couverture rigide
Etat : New