NDLI: Discovering Purchasing Pattern of Sport Items Using Market Basket Analysis

Content Provider	IEEE Xplore Digital Library
Author	Abbas, W.F. Ahmad, N.D. Binti Zaini, N.
Copyright Year	2013
Description	Author affiliation: Fac. of Comput. & Math. Sci., Univ. Teknol. MARA, Shah Alam, Malaysia (Abbas, W.F.; Ahmad, N.D.; Binti Zaini, N.)
Abstract	One of the oldest problem in data mining is the market basket problem, the search for meaningful associations in customer purchase data. Currently, the Sport Company has an issue on sport items arrangement in accordance with customer purchasing pattern. They noticed that, the sales of certain products become decrease when they made some arrangement to the shelves. The Sport Company do not have any available computerized mechanism to provide the best arrangement of item store at the retail store. Everything is done manually by the owner of the shop according their own style. This study intends to identify purchasing pattern of sport items by adopting data mining technique which is Market Basket Analysis. This data mining pattern will help the retailer to make a better arrangement of the products at the premise. Historical data is analyzed to identify associated items from purchasing data of customer that involved sales data, items data and order data. As a result from this research, the sports items will be arranged according to the best rules identified and propose a new pattern.
Starting Page	120
Ending Page	125
File Size	218872
Page Count	6
File Format	PDF
ISBN	9781479927586
DOI	10.1109/ACSAT.2013.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-23
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Databases Companies Footwear Apriori algorithm Market Basket Analysis Knowledge discovery Data mining technique Association rules
Content Type	Text
Resource Type	Article

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