MiataDrivers - Mining Sequential Patterns from Large Data Sets (Advances in Database Systems)






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 | #1865873 in Books |  Jiong Yang |  2005-02-28 | Original language:English | PDF # 1 |  9.21 x.44 x6.14l,.97 | File type: PDF | 163 pages

 | ISBN13: 9780387242460 | Condition: Used - Very Good | Notes: 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!

||From the Back Cover| |The focus of Mining Sequential Patterns from Large Data Sets is on sequential pattern mining.  In many applications, such as bioinformatics, web access traces, system utilization logs, etc., the data is naturally in the form o

In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, w...



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