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

Monthly Journal for Science , Computer Science and Engineering

Volume4,November 2017,

Topic : A Map Reduce Methodology based Novel Parallel Particle Swarm Optimization Clustering Algorithm

Authors:G.Akhilesh ||

Abstract:Over the most recent couple of decades overseeing huge information has turned out to be testing assignment on account of the expanding volume and many-sided quality of the information being made or gathered. The issue here is the means by which to viably oversee and investigate the information and coming about data. The arrangement requires an extensive approach that contains every one of the phases from the underlying information accumulation to its last analysis..Traditional grouping methods don't address every one of the prerequisites satisfactorily. The new methods need to make utilization of practically equivalent to registering ideas keeping in mind the end goal to have the capacity to scale with rising informational collection sizes. In this paper, we suggest a parallel molecule swarm streamlining bunching (MRCPSO) calculation that depends on MapReduce. The test comes about demonstrates The proposed framework is versatile in preparing extensive information on item equipment. Expanding informational collection sizes and accomplishes a near the direct speedup while keeping up the grouping quality..

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DOI: 01.1617/vol4/iss11/pid56421


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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
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