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Published in:

Volume 2 Issue 2
February-2015
eISSN: 2349-5162

Unique Identifier

JETIR1502041

Page Number

402-406

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Title

Performance Analysis of Rare Itemset Mining Algorithms

ISSN

2349-5162

Cite This Article

"Performance Analysis of Rare Itemset Mining Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 2, page no.402-406, February-2015, Available :http://www.jetir.org/papers/JETIR1502041.pdf

Abstract

Rare Or Infrequent itemset mining is a very important mining technique with wide applications. It found very useful in various domains like medical,biology,banking,retail,telecommunication industry,market basket analysis,predicting pre-birth terms etc.It discovers the hidden interesting association between data items.Infrequent itemset mining is a variant of frequent itemset also called rare itemset.Basic technique to find the correlation of data is Association Rule Mining.It has mainly two concepts Support and Confidence.Threshold plays a key role in deciding the interesting itemsets.The rare itemset may not found if high threshold is set.Some uninteresting items are appear if low threshold is set.for eg, Rare symptom which leads to disease. This paper focus on various mining algorithms like Apriori,FP-Growth,IWI Mining,MIWI Miner etc.

Key Words

Data Mining,Frequent Items, Infrequent Items,Threshold,Support, Confidence.

Cite This Article

"Performance Analysis of Rare Itemset Mining Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 2, page no. pp402-406, February-2015, Available at : http://www.jetir.org/papers/JETIR1502041.pdf

Publication Details

Published Paper ID: JETIR1502041
Registration ID: 150121
Published In: Volume 2 | Issue 2 | Year February-2015
DOI (Digital Object Identifier):
Page No: 402-406
ISSN Number: 2349-5162

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Cite This Article

"Performance Analysis of Rare Itemset Mining Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 2, page no. pp402-406, February-2015, Available at : http://www.jetir.org/papers/JETIR1502041.pdf




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