loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Seventh International Database Engineering and Applications Symposium (IDEAS'03)
Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint
Hong Kong, SAR
July 16-July 18
ISBN: 0-7695-1981-4
William Cheung, University of Alberta
Osmar R. Za?ane, University of Alberta
In this paper, we propose a novel data structure called CATS Tree. CATS Tree extends the idea of FPTree to improve storage compression and allow frequent pattern mining without generation of candidate itemsets. The proposed algorithms enable frequent pattern mining with different supports without rebuilding the tree structure. Furthermore, the algorithms allow mining with a single pass over the database as well as efficient insertion or deletion of transactions at any time.
Citation:
William Cheung, Osmar R. Za?ane, "Incremental Mining of Frequent Patterns without Candidate Generation or Support Constraint," ideas, pp.111, Seventh International Database Engineering and Applications Symposium (IDEAS'03), 2003
Usage of this product signifies your acceptance of the Terms of Use.