DocumentCode :
603367
Title :
Sequential Pattern Mining: A Survey on Approaches
Author :
Boghey, R. ; Singh, Sushil
Author_Institution :
Dept. of Comput. Sci. Eng., Technocrats Inst. of Technol. (Excellence), Bhopal, India
fYear :
2013
fDate :
6-8 April 2013
Firstpage :
670
Lastpage :
674
Abstract :
Increased application of sequential pattern mining requires a perfect understanding of the problem and the model of existing algorithms. In the last decade, a variety of algorithms and techniques have been developed to deal with the problem of sequential pattern mining. This paper reviews the state-of-the-art progress on methods of identifying sequential pattern from data base. It describes a variety of models for sequential pattern mining task by classifying into two wide categories. the first one is to sequential pattern mining algorithms, which discovered sequential pattern over the static database and other one is to mining of sequential pattern over the incremented or updated database.
Keywords :
data mining; database management systems; incremented database; sequential pattern mining algorithms; static database; updated database; Algorithm design and analysis; Buffer storage; Data mining; Databases; Memory management; Partitioning algorithms; Unsolicited electronic mail; Apriori; Sequence Database; Sequential Pattern;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2013 International Conference on
Conference_Location :
Gwalior
Print_ISBN :
978-1-4673-5603-9
Type :
conf
DOI :
10.1109/CSNT.2013.142
Filename :
6524485
Link To Document :
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