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A Survey On Efficient Frequent Pattern Mining Techniques


Janak Thakkar, Dr. Mehul Parikh
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Data Mining is the technique to abstract the useful data from the large dataset for different perspectives. Frequent pattern mining has become an important data mining technique to find the frequent patterns from the data set that appears frequently. Frequent Pattern Technique is widely used in financial, retail, telecommunication and many more. The major concern of these industries is faster processing of a very large amount of data. Various techniques and algorithms have been proposed for this purpose. Apriori, FP-tree are the pioneer techniques among them. In this paper, we have analysed algorithms for finding frequent patterns with the purpose of discovering how these algorithms can be used to obtain frequent patterns over large transactional databases with most efficient way in various aspects. This has been presented in the form of a comparative study of the following algorithms: Apriori, Frequent Pattern (FP) Growth, dNC-ECPM Algorithm, OCFP–growth, IA-TJ-FGTT(Important Attributes -Transaction Joining - Frequency Gathering Table Technique).

Janak Thakkar, Dr. Mehul Parikh

Data Mining, Frequent Pattern Mining, Apriori, FP-Growth, Erasable Patterns, Close Patterns

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Publication Details

Published in : Volume 4 | Issue 2 | January-February - 2018
Date of Publication Print ISSN Online ISSN
2018-01-20 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
78-80 IJSRSET184214   Technoscience Academy

Cite This Article

Janak Thakkar, Dr. Mehul Parikh, "A Survey On Efficient Frequent Pattern Mining Techniques ", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 2, pp.78-80, January-February-2018.
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