Discovering Frequent Episodes : Fast Algorithms, Connections With HMMs And Generalizations

Discovering Frequent Episodes : Fast Algorithms, Connections With HMMs And Generalizations

Temporal data mining is concerned with the exploration of large sequential (or temporally ordered) data sets to discover some nontrivial information that was previously unknown to the data owner. Sequential data sets come up naturally in a wide range of application domains, ranging from bioinformati...

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Bibliographic Details
Main Author: Laxman, Srivatsan
Other Authors: Sastry, P S
Language:en_US
Published: 2008
Subjects:
Data Mining
Databases - Data Mining
Hidden Markov Models
Event (Electrical Engineering) - Frequency
Temporal Data Mining
Episodes (Temporal Patterns)
Event Sequences
Frequent Episodes
Episode Discovery
Fast Algorithms
Pattern Discovery
Computer Science
Online Access:http://hdl.handle.net/2005/375

Internet

http://hdl.handle.net/2005/375

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