Data Mining Special Issue in Annals of Information Systems / edited by Robert Stahlbock, Sven F. Crone, Stefan Lessmann.

Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applica...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Stahlbock, Robert (Editor), Crone, Sven F. (Editor), Lessmann, Stefan (Editor)
Format: eBook
Language:English
Published: New York, NY : Springer US : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Annals of Information Systems, 8
Springer eBook Collection.
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Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:Over the course of the last twenty years, research in data mining has seen a substantial increase in interest, attracting original contributions from various disciplines including computer science, statistics, operations research, and information systems. Data mining supports a wide range of applications, from medical decision making, bioinformatics, web-usage mining, and text and image recognition to prominent business applications in corporate planning, direct marketing, and credit scoring. Research in information systems equally reflects this inter- and multidisciplinary approach, thereby advocating a series of papers at the intersection of data mining and information systems research. This special issue of Annals of Information Systems contains original papers and substantial extensions of selected papers from the 2007 and 2008 International Conference on Data Mining (DMIN’07 and DMIN’08, Las Vegas, NV) that have been rigorously peer-reviewed. The issue brings together topics on both information systems and data mining, and aims to give the reader a current snapshot of the contemporary research and state of the art practice in data mining.
Physical Description:XIII, 387 p. online resource.
ISBN:9781441912800
ISSN:1934-3221 ;
DOI:10.1007/978-1-4419-1280-0