UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1904H83


Registration ID:
205363

Page Number

501-504

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Title

Automated Personality Classification Based on Data Mining Techniques – A concept survey

Abstract

As Understanding personality type can help you to understand your preferences and the preferences of other people and how or why these might be different. Personality types are useful for recognising how people lead, influence, communicate, collaborate, negotiate business and manage stress. This project is helpful where we have data related to personal Behaviour. This personal behaviour data can be useful for identifying person based on his personality traits. The personality characterictics will be already stored in database. Later when user enters his personality characteristics his personality is examined in database and and system will detect the personality of user. This system will use Naïve Bayes and SVM algorithms. This system is helpful for organization or companies to hire their employees by observing behaviour of employees and also in various e-Commerce sites to identify the customer behaviour.

Key Words

Personality;Mining

Cite This Article

"Automated Personality Classification Based on Data Mining Techniques – A concept survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.501-504, April-2019, Available :http://www.jetir.org/papers/JETIR1904H83.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

"Automated Personality Classification Based on Data Mining Techniques – A concept survey", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp501-504, April-2019, Available at : http://www.jetir.org/papers/JETIR1904H83.pdf

Publication Details

Published Paper ID: JETIR1904H83
Registration ID: 205363
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 501-504
Country: Ratnagiri, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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