Authors:
- Contains unique multiple models for various sequential patterns and detailed algorithms on how to mine these patterns.
- Bio-informaticians not yet familiar with data mining models and algorithms will appreciate the various descriptions of models and algorithms
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Database Systems (ADBS, volume 28)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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University of North Carolina at Chapel Hill, Chapel Hill, USA
Wei Wang
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Case Western Reserve University, Cleveland, USA
Jiong Yang
Bibliographic Information
Book Title: Mining Sequential Patterns from Large Data Sets
Authors: Wei Wang, Jiong Yang
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/b104937
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-24246-0Published: 28 February 2005
Softcover ISBN: 978-1-4419-3707-0Published: 06 December 2010
eBook ISBN: 978-0-387-24247-7Published: 26 July 2005
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XV, 163
Topics: Data Mining and Knowledge Discovery, Database Management, Information Storage and Retrieval, Data Structures, Multimedia Information Systems, Computer Communication Networks
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