DocumentCode
260742
Title
A survey on closed sequential pattern mining
Author
Purushothama Raju, V. ; Saradhi Varma, G.P.
Author_Institution
Dept. of Comput. Sci. & Eng., Shri Vishnu Eng. Coll. for Women, Bhimavaram, India
fYear
2014
fDate
27-28 Feb. 2014
Firstpage
1
Lastpage
6
Abstract
Sequential pattern mining is an important task in data mining. Sequential pattern mining algorithms developed so far provide better performance for short sequences but these algorithms are inefficient at mining long sequences. To mine long sequences efficiently closed sequential pattern mining was proposed. Closed sequential pattern mining produces more compact result set and it is more efficient than sequential pattern mining. In this paper, we present the some of the popular algorithms in closed sequential pattern mining and its extensions.
Keywords
data mining; closed sequential pattern mining; data mining; Algorithm design and analysis; Data mining; Educational institutions; Itemsets; Memory management; Time factors; Data mining; closed sequential pattern mining; sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location
Chennai
Print_ISBN
978-1-4799-3835-3
Type
conf
DOI
10.1109/ICICES.2014.7033795
Filename
7033795
Link To Document