Portada

SEQUENCE DATA MINING IBD

SPRINGER
11 / 2010
9781441943521
Inglés

Sinopsis

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.

PVP
207,06