Mining Sequential Patterns from Large Data Sets
by Wang, Wei
The 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.
Read More ↓Title Statements
- Full title :Mining Sequential Patterns from Large Data Sets.
Summary
The 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.
Read More ↓Edition Statements
- Publication Date:2005.
Publication Statements
- Publisher(s):Springer US
- Place of Publication:Boston, MA
- Language:eng
- Publication Date:2005.
The Physical Object
- Description:1 online resource (174 pages).
Edition Identifiers
- ISBN:1441937072, 9781441937070, 0387242465, 9780387242460
- DOI:10.1007/b104937
- oclc:ocn990677444
- LC Classification:QA76.9.D343 M557 2005
- Dewey Decimal:006.3
Table of Contents
List of Figures; List of Tables; Preface; 1. Introduction; 2. Related Work; 3. Periodic Patterns; 4. Statistically Significant Patterns; 5. Approximate Patterns; 6. Conclusion Remark; Index.
Read More ↓Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Optimization algorithms in physics
Swarm intelligence algorithms
Mining sequential patterns from large data sets
Files & Downloads
No downloadable files are registered for this work yet.
Rate & Review