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