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...

Full description

Saved in:
Bibliographic Details
Other Authors: Mladenić, Dunja (Editor), Lavrač, Nada (Editor), Bohanec, Marko (Editor), Moyle, Steve (Editor)
Format: Electronic eBook
Language:English
Published: Boston, MA Springer US 2003
Series:The Springer International Series in Engineering and Computer Science 745
Subjects:
Online Access:FHI01
BTU01
Volltext
Summary: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
Physical Description:1 Online-Ressource (XXIII, 275 p)
ISBN:9781461502869
DOI:10.1007/978-1-4615-0286-9

There is no print copy available.

Interlibrary loan Place Request Caution: Not in THWS collection! Get full text