Authors:
- The only book that covers the emerging topic of multiple database mining
- Focuses on developing new techniques for multi-database mining
- Urgent need to analyse data in multi-databases as a great deal of multi-databases are widely used in organisations
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews:
"The book contains the latest on research in database multi-mining (32 papers published after 2000) and offers for consideration a local-pattern analysis framework for pattern discovery from multiple data sources. Starting from the local pattern in multiple data bases, the authors propose … a new pattern named ‘high-vote’ pattern based on statistical analysis of vote ratio received by a pattern from each branch of the company." (Silviu Craciunas, Zentralblatt MATH, Vol. 1067, 2005)
Authors and Affiliations
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FIT, University of Technology Sydney, Australia
Shichao Zhang, Chengqi Zhang
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Department of Computer Science, University of Vermont, USA
Xindong Wu
Bibliographic Information
Book Title: Knowledge Discovery in Multiple Databases
Authors: Shichao Zhang, Chengqi Zhang, Xindong Wu
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-0-85729-388-6
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2004
Hardcover ISBN: 978-1-85233-703-2Published: 30 August 2004
Softcover ISBN: 978-1-4471-1050-7Published: 04 October 2012
eBook ISBN: 978-0-85729-388-6Published: 06 December 2012
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XII, 233
Topics: Data Structures and Information Theory, Database Management, Information Systems Applications (incl. Internet)