UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1905005


Registration ID:
198984

Page Number

21-29

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Title

FREQUENT PATTERN MINING TECHNIQUESFOR VARIOUS FORMS OF PATTERNS IN DATA ANALYSIS

Abstract

Data mining involves identification of important trends or patterns through huge amounts of data. Advanced statistical techniques such as cluster analysis, artificial intelligence and neural network techniques are used in the data analysis processes. Data mining helps in better analysis of geographical data, Genome and medical sector. Classification is used for predicting outcomes and association is used to find rules affiliated with items having co-occurrence. Frequent Itemset Mining (FIM) is an approach to discover association rules in datasets. Frequent Pattern Mining (FPM) is used for finding relationships among the items in a large database obtained from the cloud environment. Association rule mining is applied for obtaining the frequent patterns. Association rule mining and frequent itemset mining are two popular and widely studied data analysis techniques for a wide range of applications such as market basket analysis, healthcare, web usage mining, bioinformatics, personalized recommendation, network optimization, medical diagnosis. This paper reviews different frequent pattern mining algorithms with weighted, interesting pattern and uncertain databases. A brief comparison of various mining algorithms based on their metrics, dataset , inferences of their work with few drawbacks were summarized. According to the reviewed papers, it was observed that uncertain database requires larger storage space and it was a time consuming process. Moreover, various challenges include checking accuracy and efficiency with time bound, setting the threshold criteria, choosing the appropriate datastructure and number of transactions containing the itemset.

Key Words

Frequent Pattern Mining, uncertain databases, Weighted frequent itemset mining, interesting patterns, BFI-forest.

Cite This Article

"FREQUENT PATTERN MINING TECHNIQUESFOR VARIOUS FORMS OF PATTERNS IN DATA ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.21-29, May-2019, Available :http://www.jetir.org/papers/JETIR1905005.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"FREQUENT PATTERN MINING TECHNIQUESFOR VARIOUS FORMS OF PATTERNS IN DATA ANALYSIS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp21-29, May-2019, Available at : http://www.jetir.org/papers/JETIR1905005.pdf

Publication Details

Published Paper ID: JETIR1905005
Registration ID: 198984
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 21-29
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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