SPMETS: Sequential Pattern Mining in Exceptional Text Streams using WEKA Tool
|U. Saranya1 , S. Padmavathi2|
1 Dept. of Computer Science, Marudupandiyar College of Arts and Science, Thanjavur, India.
2 Dept. of Computer Science, Marudupandiyar College of Arts and Science, Thanjavur, India.
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Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-7 , Page no. 20-23, Jul-2017
Online published on Jul 30, 2017
Copyright © U. Saranya, S. Padmavathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: U. Saranya, S. Padmavathi, “SPMETS: Sequential Pattern Mining in Exceptional Text Streams using WEKA Tool”, International Journal of Computer Sciences and Engineering, Vol.5, Issue.7, pp.20-23, 2017.
MLA Style Citation: U. Saranya, S. Padmavathi "SPMETS: Sequential Pattern Mining in Exceptional Text Streams using WEKA Tool." International Journal of Computer Sciences and Engineering 5.7 (2017): 20-23.
APA Style Citation: U. Saranya, S. Padmavathi, (2017). SPMETS: Sequential Pattern Mining in Exceptional Text Streams using WEKA Tool. International Journal of Computer Sciences and Engineering, 5(7), 20-23.
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|Key-Words / Index Term :|
|Document Streams, Dynamic Programming, Pattern-Growth, Rare Event, Sequential Patterns, Web Mining|
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