Overview
- Provides a state-of-art, up-to-the moment, view of the evolving field of datamining
- Special publication of the 2007 International Conference on Data Mining (DMIN 07)
- Features a combination of rigorously peer-reviewed theoretical research papers, as well as industrial reports, and case studies on applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Annals of Information Systems (AOIS, volume 8)
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Table of contents (17 chapters)
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Confirmatory data analysis
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Data Mining
Book Subtitle: Special Issue in Annals of Information Systems
Editors: Robert Stahlbock, Sven F. Crone, Stefan Lessmann
Series Title: Annals of Information Systems
DOI: https://doi.org/10.1007/978-1-4419-1280-0
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2010
Softcover ISBN: 978-1-4419-1279-4Published: 23 November 2009
eBook ISBN: 978-1-4419-1280-0Published: 10 November 2009
Series ISSN: 1934-3221
Series E-ISSN: 1934-3213
Edition Number: 1
Number of Pages: XIII, 387
Topics: Data Mining and Knowledge Discovery, Operations Research/Decision Theory, Business and Management, general, Information Systems Applications (incl. Internet), Engineering Economics, Organization, Logistics, Marketing, Statistics for Business, Management, Economics, Finance, Insurance