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Title: :  MCFSP: Mining Closed frequent Similar Patterns
PaperId: :  11326
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 6 Issue 1 2020
DUI:    16.0415/IJARIIE-11326
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Ramesh N KopparSKSVMACET, Lakshmeshwar, Gadag District, Karnataka
Dr. Ramesh DSSIT, Tumkur, Karnataka, India

Abstract

Computer Science
Data mining, frequent closed itemset mining, frequent closed itemsets, Association rules
The enormous amount of useful information in the form of frequent pattern poses the key challenge of how to reduce the number of frequent patterns without information loss. Despite the quality of solution given by frequent pattern mining algorithm, scalability and efficiency issues persist. Current closed frequent item set mining algorithms gives solutions only to frequent itemset by discovering reduced sets of frequent itemsets from which entire frequent itemsets can be recovered . But the solution in the case of frequent similar pattern mining wherein the number of pattern is even more than for frequent itemset mining is not present. In this paper as a solution we are extending closed frequent pattern mining technique to closed frequent similar pattern mining for discovering reduced set of frequent similar pattern without any information loss. We are proposing a novel closed frequent similar pattern mining algorithm, named MCFSP Mining closed frequent similar pattern algorithm. By traversing a tree which contains all closed frequent similar pattern the algorithm discovers frequent patterns. The MCFSP resolves scalability and efficiency issues by finding closed similar patterns, yielding a reduced size of the discovered frequent similar pattern set without information loss.

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IJARIIE Ramesh N Koppar, and Dr. Ramesh D. "MCFSP: Mining Closed frequent Similar Patterns" International Journal Of Advance Research And Innovative Ideas In Education Volume 6 Issue 1 2020 Page 623-628
MLA Ramesh N Koppar, and Dr. Ramesh D. "MCFSP: Mining Closed frequent Similar Patterns." International Journal Of Advance Research And Innovative Ideas In Education 6.1(2020) : 623-628.
APA Ramesh N Koppar, & Dr. Ramesh D. (2020). MCFSP: Mining Closed frequent Similar Patterns. International Journal Of Advance Research And Innovative Ideas In Education, 6(1), 623-628.
Chicago Ramesh N Koppar, and Dr. Ramesh D. "MCFSP: Mining Closed frequent Similar Patterns." International Journal Of Advance Research And Innovative Ideas In Education 6, no. 1 (2020) : 623-628.
Oxford Ramesh N Koppar, and Dr. Ramesh D. 'MCFSP: Mining Closed frequent Similar Patterns', International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 1, 2020, p. 623-628. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/MCFSP__Mining_Closed_frequent_Similar_Patterns_ijariie11326.pdf (Accessed : 20 November 2024).
Harvard Ramesh N Koppar, and Dr. Ramesh D. (2020) 'MCFSP: Mining Closed frequent Similar Patterns', International Journal Of Advance Research And Innovative Ideas In Education, 6(1), pp. 623-628IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/MCFSP__Mining_Closed_frequent_Similar_Patterns_ijariie11326.pdf (Accessed : 20 November 2024)
IEEE Ramesh N Koppar, and Dr. Ramesh D, "MCFSP: Mining Closed frequent Similar Patterns," International Journal Of Advance Research And Innovative Ideas In Education, vol. 6, no. 1, pp. 623-628, Jan-Feb 2020. [Online]. Available: https://ijariie.com/AdminUploadPdf/MCFSP__Mining_Closed_frequent_Similar_Patterns_ijariie11326.pdf [Accessed : 20 November 2024].
Turabian Ramesh N Koppar, and Dr. Ramesh D. "MCFSP: Mining Closed frequent Similar Patterns." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 6 number 1 (20 November 2024).
Vancouver Ramesh N Koppar, and Dr. Ramesh D. MCFSP: Mining Closed frequent Similar Patterns. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2020 [Cited : 20 November 2024]; 6(1) : 623-628. Available from: https://ijariie.com/AdminUploadPdf/MCFSP__Mining_Closed_frequent_Similar_Patterns_ijariie11326.pdf
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