Sequence Data Mining

Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. Sequence Data Mining provides balanced coverage of the...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Dong, Guozhu (Autor), Pei, Jian (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Advances in Database Systems ; 33
Temas:
Database management.
Data mining.
Information storage and retrieval systems.
Bioinformatics.
Biometric identification.
Computer networks .
Database Management.
Data Mining and Knowledge Discovery.
Information Storage and Retrieval.
Computational and Systems Biology.
Biometrics.
Computer Communication Networks.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

Ejemplares similares