International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,January 2018,

Topic : Analytics of Pollution Smart City Data using New Pattern Mining Algorithm

Authors:Monika Saxena || Dr. C.K. Jha

Abstract:Pattern mining algorithms are used to mine the useful data from the massive amount of IOT data. Mostly used data mining algorithms are classification, clustering, association rule and regression in which the classification and regression come under supervised learning and other two in unsupervised learning. The objective is to review different techniques applied for mining the pattern by using classification, clustering, and other algorithms. By applying parallel data mining algorithm in map-reduce framework. We have also implemented the algorithm for mining the frequent pattern from the datasets. Apriori and FP Growth algorithm have been implemented practically on the market basket dataset. As per the result, we have concluded that Apriori is better than FP Growth in terms of the time stamp. And FP Growth is better than Apriori in terms of large datasets. This paper represents the problems occur in this type of methods with little bit solution of them by a new modified algorithm..

Keywords: IoT Streaming, Map Reduce, parallel data mining

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DOI: 01.1617/vol5/iss1/pid46082


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
Contact : info@ijercse.com


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