期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2019
卷号：7
期号：1
页码：207-211
DOI：10.15680/IJIRCCE.2019. 0701003
出版社：S&S Publications
摘要：Data mining refers to using a variety of techniques to identify nuggets of information or knowledge in
data, and extracting these for decision support, prediction, forecasting and estimation. The data is often voluminous, but
as it stands of low value as no direct use can be made of it; it is the hidden information in the data that is useful. The
essence of data mining usage in business applications is that it is useful in identifying relevant information and
knowledge which can be used for better decision making in business area. This paper studies the use of data mining, as
a tool, in understanding storefront operations in retail marketing which also happens to generate huge amount of data in
its operations. Retailers can make use of this data in order to understand store segmentation, market basket analysis,
category management and out of stock analysis.
