Front cover image for Data mining and decision support : integration and collaboration

Data mining and decision support : 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
eBook, English, 2003
Springer Science+Business Media, New York, 2003
1 online resource (xxiii, 275 pages) : illustrations
9781461502869, 1461502861
828738652
pt. I. Basic technologies
pt. II. Integration aspects of data mining and decision support
pt. III. Applications of data mining and decision support
pt. IV. Collaboration aspects
Originally published by Kluwer Academic Publishers in 2003
Softcover reprint of the hardcover 1st edition 2003