Data Mining and Decision Support [electronic resource] : Integration and Collaboration /

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.

Bibliographic Details

Main Authors:	Mladenić, Dunja. editor., Lavrač, Nada. editor., Bohanec, Marko. editor., Moyle, Steve. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	Boston, MA : Springer US : Imprint: Springer, 2003
Subjects:	Computer science., Data structures (Computer science)., Data mining., Artificial intelligence., Computer graphics., Computer Science., Data Structures, Cryptology and Information Theory., Data Mining and Knowledge Discovery., Artificial Intelligence (incl. Robotics)., Computer Imaging, Vision, Pattern Recognition and Graphics.,
Online Access:	http://dx.doi.org/10.1007/978-1-4615-0286-9
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