Open AccessData Mining Approach in Retail Knowledge Discovery and Internet Technologies
Author(s) -
Simranjit Kaur,
Seema Baghla
Publication year - 2018
Publication title -
asian journal of engineering and applied technology
Language(s) - English
Resource type - Journals
ISSN - 2249-068X
DOI - 10.51983/ajeat-2018.7.2.998
Subject(s) - association rule learning , categorical variable , the internet , data mining , knowledge extraction , computer science , raw data , data science , set (abstract data type) , purchasing , usable , data set , data pre processing , process (computing) , world wide web , business , artificial intelligence , marketing , machine learning , programming language , operating system
Online shopping has a shopping channel or purchasing various items through online medium. Data mining is defined as a process used to extract usable data from a larger set of any raw data. The data set extraction from the demographic profiles and Questionnaire to investigate the gathered based by association. The method for shopping was totally changed with the happening to internet Technology. Association rule mining is one of the important problems of data mining has been used here. The goal of the association rule mining is to detect relationships or associations between specific values of categorical variables in large data sets.