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Mining top-k closed itemsets using best-first search

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2 Author(s)
Songram, P. ; Dept. of Math. & Comput. Sci., King Mongkut''s Inst. of Technol. Ladkrabang, Bangkok ; Boonjing, V.

In this paper, we proposed an efficient algorithm, TOPK_CLOSED, for mining top-k closed itemsets. This algorithm mines top-k closed itemsets using best-first search. The closed itemsets with the highest supports are firstly found from this algorithm. Consequently, the method quickly finds top-k closed itemsets, which leads to an efficient pruning unnecessary itemsets and stop mining rapidly. In addition, this algorithm can generate closed itemsets without keeping candidates in main memory.

Published in:
Computer and Information Technology, 2008. CIT 2008. 8th IEEE International Conference on

Date of Conference: 8-11 July 2008

Page(s):
77 - 82
E-ISBN :
978-1-4244-2358-3
Print ISBN:
978-1-4244-2357-6
INSPEC Accession Number:
10156701
Conference Location :
Sydney, NSW
Digital Object Identifier :
10.1109/CIT.2008.4594653
Product Type:
Conference Publications

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