UGC Approved Journal no 63975(19)

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

Volume 5 Issue 5
May-2018
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1805633


Registration ID:
182601

Page Number

190-195

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Title

TV PROGRAM POPULARITY PREDICTION USING K-MEDOID

Abstract

— Random Forest is a supervised learning algorithm. Like we can already see from it’s name, it creates a dense forest and makes it random. The “forest” it builds, is an dicision of Decision Trees, most of the time trained with the different methods. In my paper I m using random forest method and K-Medoid method for prediction.

Key Words

— popularity prediction, random forests regression,k-medoid method, prediction.

Cite This Article

"TV PROGRAM POPULARITY PREDICTION USING K-MEDOID ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.190-195, MAY-2018, Available :http://www.jetir.org/papers/JETIR1805633.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

"TV PROGRAM POPULARITY PREDICTION USING K-MEDOID ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp190-195, MAY-2018, Available at : http://www.jetir.org/papers/JETIR1805633.pdf

Publication Details

Published Paper ID: JETIR1805633
Registration ID: 182601
Published In: Volume 5 | Issue 5 | Year May-2018
DOI (Digital Object Identifier):
Page No: 190-195
Country: khordha, Odisha, India .
Area: Applied Instrumentation 
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR1805633
Published Paper PDF: https://www.jetir.org/papers/JETIR1805633

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