UGC Approved Journal no 63975(19)

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

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIRER06051


Registration ID:
308579

Page Number

215-219

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Title

CLUSTERING BUSINESS UNITS BASED ON DEMAND USING K-MEANS ALGORITHM

Abstract

Demand planning in business is to find the product which has the highest demand of product and to shipping them accordingly. The k-means clustering algorithm is used to group the similar data to form cluster. In this(demand, business unit, product id )used to find out the demand of the product. K-means algorithm is use to find out the highest demand of the product to be shipped.

Key Words

demand, product, data

Cite This Article

"CLUSTERING BUSINESS UNITS BASED ON DEMAND USING K-MEANS ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.215-219, April-2021, Available :http://www.jetir.org/papers/JETIRER06051.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

"CLUSTERING BUSINESS UNITS BASED ON DEMAND USING K-MEANS ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp215-219, April-2021, Available at : http://www.jetir.org/papers/JETIRER06051.pdf

Publication Details

Published Paper ID: JETIRER06051
Registration ID: 308579
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 215-219
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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