loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
Mining Single Sequence at Once Using Disjunctive Tree Patterns
Auckland, New Zealand
December 13-December 15
ISBN: 0-7695-2662-4
Kazuhiro Shimizu, Hosei University, Japan
Takao Miura, Hosei University, Japan
Frequent disjunctive patterns is known to be a sophisticated method of text mining in a single document that satisfies anti-monotonicity, by which we can discuss efficient algorithms such as APRIORI. In this work, we propose a new technique for mining frequent disjunctive tree patterns based on Online analysis approach, by which we can improve mining a collection of single sequences in parallel, and discuss some experimental results.
Index Terms:
Disjunctive Tree Pattern, Semi-Structured Data, Anti-Monotonicity
Citation:
Kazuhiro Shimizu, Takao Miura, "Mining Single Sequence at Once Using Disjunctive Tree Patterns," his, pp.38, Sixth International Conference on Hybrid Intelligent Systems (HIS'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.