DocumentCode
2083572
Title
The most frequent closed sequence mining
Author
Songram, Panida ; Kaewman, Sasitorn
Author_Institution
Dept. of Comput. Sci., Mahasarakham Univ., Mahasarakham, Thailand
fYear
2010
fDate
16-18 Aug. 2010
Firstpage
213
Lastpage
217
Abstract
Frequent sequence mining is an important data mining task with broad applications. To mine frequent sequences, a minimum support threshold is required as a filter. If a very small support threshold value is given in the mining process, a large number of resulting sequences may be produced. Consequently, users have to find useful sequences from the large number of resulting sequences and make tasks of analyze complicated. To avoid this problem, the most frequent sequences should be mined instead of mining of all frequent sequences because they are always the useful sequences. Therefore, this paper is proposed to mine the most frequent sequences. Moreover, the most frequent sequences are produced in form of closed sequences, called the most frequent closed sequences, to avoid generation of redundant sequences. In addition, an efficient method is presented in this paper for mining the most frequent closed sequences.
Keywords
data mining; data mining task; filter; frequent closed sequence mining; minimum support threshold; closed pattern; data mining; frequent pattern; sequence; top-k;
fLanguage
English
Publisher
ieee
Conference_Titel
Networked Computing and Advanced Information Management (NCM), 2010 Sixth International Conference on
Conference_Location
Seoul
Print_ISBN
978-1-4244-7671-8
Electronic_ISBN
978-89-88678-26-8
Type
conf
Filename
5572512
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