Sequence Data Mining
Files
Document Type
Book
Description
Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more.
This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.
Publication Date
2007
Find in a Library
Publisher
Springer
City
New York
Disciplines
Communication | Communication Technology and New Media | Computer Sciences | Other Computer Sciences | Social Influence and Political Communication | Social Media
Repository Citation
Dong , G., & Pei , J. (2007). Sequence Data Mining. New York, NY: Springer.
