Optimization of Data using Artificial Bee Colony Optimization with Map Reduce

Patil Parikshit; Mhatre Hrishikesh; Patil Ruchita; Shinde Apurva; Joshi Bharti

doi:10.1051/itmconf/20203203031

ITM Web of Conferences (Jan 2020)

Optimization of Data using Artificial Bee Colony Optimization with Map Reduce

Patil Parikshit,
Mhatre Hrishikesh,
Patil Ruchita,
Shinde Apurva,
Joshi Bharti

Affiliations

Patil Parikshit: Department of Computer Engineering , Ramrao Adik Institute of Technology, Nerul
Mhatre Hrishikesh: Department of Computer Engineering , Ramrao Adik Institute of Technology, Nerul
Patil Ruchita: Department of Computer Engineering , Ramrao Adik Institute of Technology, Nerul
Shinde Apurva: Department of Computer Engineering , Ramrao Adik Institute of Technology, Nerul
Joshi Bharti: Department of Computer Engineering , Ramrao Adik Institute of Technology, Nerul

DOI: https://doi.org/10.1051/itmconf/20203203031
Journal volume & issue: Vol. 32
p. 03031

Abstract

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We are developing an idea through this paper which would give any question the perfect and best answer. Existing system is not capable of classifying according to different patterns. This compromises with efficiency of the system and quality of final result. In this project Parallel Clustering optimization method is formed by amalgamation of Map-Reduce with Ant Bee Colony Optimization Technique for improving the efficiency and success of the data science method. In addition, related running services on a Hadoop network are predicted with the help of Map Reduce algorithm.

Published in ITM Web of Conferences

ISSN: 2271-2097 (Online)
Publisher: EDP Sciences
Country of publisher: France
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology
Website: http://www.itm-conferences.org/

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