UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 10 Issue 11
November-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2311391


Registration ID:
528479

Page Number

d737-d740

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Title

A Genetics Clustering-Based Method for Filtering Internship & Placement Data: A Review

Abstract

This review paper explores the innovative application of genetics clustering techniques for the filtration and analysis of internship and placement data. With the increasing emphasis on data-driven decision-making in educational institutions and the corporate world, the need for effective methods to filter and analyze internship and placement data has grown significantly. This paper presents a comprehensive overview of the genetic clustering-based approach, its theoretical foundation, practical implementation, benefits, and challenges. The synthesis of existing research and case studies demonstrates the potential of genetics clustering as a powerful tool for enhancing the quality of decision-making processes in the context of student internships and placements.

Key Words

Genetics Clustering, Data Filtering, Internship, Placement, Decision-Making

Cite This Article

"A Genetics Clustering-Based Method for Filtering Internship & Placement Data: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.d737-d740, November-2023, Available :http://www.jetir.org/papers/JETIR2311391.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

"A Genetics Clustering-Based Method for Filtering Internship & Placement Data: A Review", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppd737-d740, November-2023, Available at : http://www.jetir.org/papers/JETIR2311391.pdf

Publication Details

Published Paper ID: JETIR2311391
Registration ID: 528479
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: d737-d740
Country: Durg, Chhatishgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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