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OverviewThe focus of this book is sequential pattern mining. In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form of sequences. This information has been of great interest for analyzing the sequential data to find its inherent characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. Full Product DetailsAuthor: Wei Wang , Jiong YangPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2005 ed. Volume: 28 Dimensions: Width: 15.50cm , Height: 1.10cm , Length: 23.50cm Weight: 0.950kg ISBN: 9780387242460ISBN 10: 0387242465 Pages: 163 Publication Date: 28 February 2005 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsRelated Work.- Periodic Patterns.- Statistically Significant Patterns.- Approximate Patterns.- Conclusion Remark.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |