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Mining Sequential Patterns from Large Data Sets
Wang, Professor Wei; Yang, Jiong (Case Western Reserve University, Cleveland, Oh)
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Description for Mining Sequential Patterns from Large Data Sets
Hardback. Focuses on sequential pattern mining. This book provides a set of tools for analyzing and understanding the nature of various sequences by identifying the specific models of sequential patterns that are suitable. It is useful for researchers and practitioners in industry, and for graduate-level students in computer science. Series: Advances in Database Systems. Num Pages: 163 pages, 14 black & white tables, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 11. Weight in Grams: 950.
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, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only ... Read more
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, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only ... Read more
Product Details
Format
Hardback
Publication date
2005
Publisher
Springer-Verlag New York Inc. United States
Number of pages
163
Condition
New
Series
Advances in Database Systems
Number of Pages
163
Place of Publication
New York, NY, United States
ISBN
9780387242460
SKU
V9780387242460
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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