BibTeX:

@article{IJIRSTV3I6011,
     title={Data Mining For Retailers },
     author={Gaurav M. Shejwal, Kishanu S. Chowdhary and Kaustubh P. Nagwekar },
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={6},
     pages={72--77},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I6011.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Data mining is proved to be one of the most important tools for identifying useful information from very large number of databases in almost all the industries. Industries are using data mining to increase revenues and reduce costs. This article begins the concept of data mining that has emerged as a technique of discovering patterns to make better strategies and decisions. It also discusses standard tasks involved in data mining. This paper attempts, how data mining can be applied in retail industry to increase sales and reduce cost.

Data Mining, Data Mining Process, Retail Sector, C4.5 Algorithm, Apriori Algorithm