UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1902731


Registration ID:
196899

Page Number

214-217

Share This Article


Jetir RMS

Title

Managing Customer Decisions with Big Data and Data mining Techniques

Abstract

Big Data is the incredibly substantial arrangements of information that their sizes are past the capacity of catching, overseeing, preparing and capacity by most programming instruments and individuals which is consistently expanding step by step. In most undertaking situations the information is too huge or it moves too quick that amazingly surpasses current handling limit. The term enormous information is additionally utilized by sellers, may allude to the innovation which incorporates instruments and procedures that an association requires to deal with the a lot of information and storerooms. This headways in innovation prompts make relationship showcasing a reality for the present aggressive world. And yet this tremendous measure of information can't be dissected in a conventional way, by utilizing manual information investigation. For this, innovations, for example, information warehousing and information mining have made client relationship the executives as another region where business firms can pick up an upper hand for recognizing their client practices and needs. This paper for the most part centers around information mining system that plays out the extraction of concealed prescient data from huge databases and associations can recognize profitable clients and predicts future client practices. This empower diverse associations to make proactive, learning driven choices. Information mining devices answer business addresses that in the past were too tedious, this makes client relationship the board conceivable. For this in this paper, we are attempting clarify the utilization of information mining system to achieve the objectives of the present client relationship the board and Decision making for various organizations that bargains with huge information.

Key Words

Big Data, Data mining, Knowledge discovery in databases (KDD), Classification, Clustering.

Cite This Article

"Managing Customer Decisions with Big Data and Data mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.214-217, February-2019, Available :http://www.jetir.org/papers/JETIR1902731.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

"Managing Customer Decisions with Big Data and Data mining Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp214-217, February-2019, Available at : http://www.jetir.org/papers/JETIR1902731.pdf

Publication Details

Published Paper ID: JETIR1902731
Registration ID: 196899
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 214-217
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0002931

Print This Page

Current Call For Paper

Jetir RMS