Data Mining For Supermarket Sale Analysis Using Association Rule

Rajeshri Shelke

Title:
Data Mining For Supermarket Sale Analysis Using Association Rule

Authors:
Rajeshri Shelke
DOI:
https://doi.org/10.31142/ijtsrd94

Cite This Article :

Rajeshri Shelke "Data Mining For Supermarket Sale Analysis Using Association Rule" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-4, June 2017, pp., URL: https://www.ijtsrd.com/papers/ijtsrd94.pdf

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Abstract :
Data mining is the novel technology of discovering the important information from the data repository which is widely used in almost all fields Recently, mining of databases is very essential because of growing amount of data due to its wide applicability in retail industries in improving marketing strategies. Analysis of past transaction data can provide very valuable information on customer behavior and business decisions. The amount of data stored grows twice as fast as the speed of the fastest processor available to analyze it.Its main purpose is to find the association relationship among the large number of database items. It is used to describe the patterns of customers' purchase in the supermarket. This is presented in this paper.

Keywords :
Data mining, Associations, supermarket

Publication Details:

Unique Identification Number : IJTSRD94

Published In : Volume-1 | Issue-4, June 2017

Page Number(s) :

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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