INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Handling Big Data Analytics Using Swarm Intelligence
Authors Name:
Aishwarya M S
, Bhargavi H , Jyothi Narayan , Kavya R , Harisha
Unique Id:
IJSDR1706037
Published In:
Volume 2 Issue 6, June-2017
Abstract:
In the current scenario, the big data analytics is widely in discussion. The characteristics of big data are high volume. high variety and high velocity. These characteristics make big data analysis challenging. Challenges faced are high dimensionality, dynamically changing data. Swarm intelligence has an ability to solve dynamical, huge, and multi-objective problems. Here we focus on proving that various big data analytics problem can be solved using swarm intelligence and it can be applied on hadoop architecture. In this paper we use particle swarm optimisation algorithm to create clusters of given dataset. Many big data analytics problems can be solved using swarm intelligence technique.
Keywords:
Big data analytics, Swarm Intelligence(SI), Particle Swarm Optimization (PSO).
Cite Article:
"Handling Big Data Analytics Using Swarm Intelligence", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.271 - 275, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706037.pdf
Downloads:
000337348
Publication Details:
Published Paper ID: IJSDR1706037
Registration ID:170527
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 271 - 275
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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