Apress NBA

Mining Sequential Patterns from Large Data Sets

By Wei Wang , Jiong Yang

  • eBook Price: $129.00
Buy eBook Buy Print Book

Mining Sequential Patterns from Large Data Sets Cover Image

  • Add to Wishlist
  • ISBN13: 978-0-3872-4246-0
  • 180 Pages
  • User Level: Science
  • Publication Date: March 30, 2006
  • Available eBook Formats: PDF
Full Description
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 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. To meet the different needs of various applications, several models of sequential patterns have been proposed. This volume not only studies the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. Mining Sequential Patterns from Large Data Sets provides a set of tools for analyzing and understanding the nature of various sequences by identifying the specific model(s) of sequential patterns that are most suitable. This book provides an efficient algorithm for mining these patterns. Mining Sequential Patterns from Large Data Sets is designed for a professional audience of researchers and practitioners in industry, and also suitable for graduate-level students in computer science.
Table of Contents

Table of Contents

  1. List of Figures.
  2. List of Tables.
  3. Preface.
  4. Introduction.
  5. Related Work.
  6. Period.
  7. Statistically Significant Patterns.
  8. Approximate Patterns.
  9. Conclusion Remark.
  10. Index.

If you think that you've found an error in this book, please let us know by emailing to editorial@apress.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published


    1. PHP Objects, Patterns, and Practice


      View Book

    2. Beginning Android 3D Game Development


      View Book

    3. Troubleshooting Oracle Performance


      View Book

    4. Beginning Amazon Web Services with Node.js


      View Book