DocumentCode :
3399150
Title :
Sequence clustering using motif algorithm
Author :
Chandar, V. Ravindra Krishna ; Moorthi, V. Sathiya
Author_Institution :
Dept. of Comput. Sci. & Eng., Sona Coll. of Technol., Salem, India
fYear :
2012
fDate :
10-12 Jan. 2012
Firstpage :
1
Lastpage :
4
Abstract :
In Data mining is the task of discovery interesting patterns from large amount of dataset. There are many data mining task such as classification, hierarchal clustering. In sequence clustering find set of data item occur together in some sequence. In the sequence database has attracted a great deal of interest during recent data mining research it is basis of many application in sequence clustering. The application may not be possible to apply a sequence clustering to all these problems. Each application may require unique model and solution. Such examine extract initial set of pattern, periodic collection of pattern, comparative performance and use message passing. We propose motif algorithm to handle using sequence clustering. In this paper provide our methods and perform experiment to show the efficiency and effectiveness of our approach.
Keywords :
data mining; message passing; pattern classification; pattern clustering; classification; comparative performance; data mining; hierarchal clustering; message passing; motif algorithm; pattern discovery; pattern initial set extraction; pattern periodic collection; sequence clustering; Algorithm design and analysis; Clustering algorithms; Data mining; Databases; Message passing; Pattern matching; Time series analysis; Patterns; clustering; com parative; motif algorithm; sequence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Informatics (ICCCI), 2012 International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4577-1580-8
Type :
conf
DOI :
10.1109/ICCCI.2012.6158838
Filename :
6158838
Link To Document :
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