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Sequence Data Mining

Specificaties
Paperback, 150 blz. | Engels
Springer US | 0e druk, 2010
ISBN13: 9781441943521
Rubricering
Springer US 0e druk, 2010 9781441943521
Onderdeel van serie Advances in Database Systems
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781441943521
Taal:Engels
Bindwijze:paperback
Aantal pagina's:150
Uitgever:Springer US
Druk:0

Inhoudsopgave

Frequent and Closed Sequence Patterns.- Classification, Clustering, Features and Distances of Sequence Data.- Sequence Motifs: Identifying and Characterizing Sequence Families.- Mining Partial Orders from Sequences.- Distinguishing Sequence Patterns.- Related Topics.

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        Sequence Data Mining