Determination of Association Rules with Market Basket Analysis: Application in the Retail Sector

Market basket analysis is the process of extracting purchasing trends from records in company databases, taking into account the products that customers buy in a single transaction. In this study, a market basket analysis was conducted on a five-and-a-half year data of a large hardware company operating in the retail sector, and related product categories were identified. In determining the association rules, both the Apriori and FP-Growth algorithms were run separately and their usefulness in such a set of data was compared. In addition, the data set was divided into Data Set-1 and Data Set-2 so that the consistency of the rules was discussed by comparing the correctness of rules extracted from the first data set with rules derived from the second data set containing consecutive timed data.

[1]  M. Punithavalli,et al.  An Efficient Market Basket Analysis based on Adaptive Association Rule Mining with Faster Rule Generation Algorithm , 2013 .

[2]  Gregory Piatetsky-Shapiro,et al.  Knowledge Discovery in Databases: An Overview , 1992, AI Mag..

[3]  Umesh Deshpande,et al.  A stock market portfolio recommender system based on association rule mining , 2013, Appl. Soft Comput..

[4]  Ali Serhan Koyuncugil,et al.  Veri Madenciliği: Tıp ve Sağlık Hizmetlerinde Kullanımı ve Uygulamaları , 2010 .

[5]  Li Hanguang,et al.  Intrusion Detection Technology Research Based on Apriori Algorithm , 2012 .

[6]  Ibrahim Cil,et al.  Consumption universes based supermarket layout through association rule mining and multidimensional scaling , 2012, Expert Syst. Appl..

[7]  S. Dolnicar,et al.  An untapped gold mine? Exploring the potential of market basket analysis to grow hotel revenue , 2016 .

[8]  Ming-Syan Chen,et al.  Adherence clustering: an efficient method for mining market-basket clusters , 2006, Inf. Syst..

[9]  Buket Doğan,et al.  Sigortacılık Sektöründe Müşteri İlişkileri Yönetimi İçin Birliktelik Kuralı Kullanılması , 2014 .

[10]  Agus Mansur,et al.  Product Inventory Predictions at Small Medium Enterprise Using Market Basket Analysis Approach-Neural Networks , 2012 .

[11]  Geert Wets,et al.  Direct and indirect effects of retail promotions on sales and profits in the do-it-yourself market , 2003, Expert Syst. Appl..

[12]  Wen-Yu Chiang,et al.  To mine association rules of customer values via a data mining procedure with improved model: An empirical case study , 2011, Expert Syst. Appl..

[13]  Xingming Li,et al.  Novel alarm correlation analysis system based on association rules mining in telecommunication networks , 2010, Inf. Sci..

[14]  Ali Osman Kusakci,et al.  A Literature Survey on Association Rule Mining Algorithms , 2016 .

[15]  R. J. Kuo,et al.  Mining association rules through integration of clustering analysis and ant colony system for health insurance database in Taiwan , 2007, Expert Syst. Appl..

[16]  Yi-Ping Phoebe Chen,et al.  Association rule mining to detect factors which contribute to heart disease in males and females , 2013, Expert Syst. Appl..

[17]  A. B. M. Shawkat Ali,et al.  Significant Cancer Prevention Factor Extraction: An Association Rule Discovery Approach , 2011, Journal of Medical Systems.

[18]  Semra Erpolat.  Comparison Of Apriori And Fp-Growth Algorithms On Determination Of Association Rules In Authorized Automobile Service Centres , 2012 .

[19]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[20]  Feridun Cemal Özçakır,et al.  Birliktelik Kuralı Yöntemi İçin Bir Veri Madenciliği Yazılımı Tasarımı ve Uygulaması , 2007 .

[21]  Tomasz Imielinski,et al.  Mining association rules between sets of items in large databases , 1993, SIGMOD Conference.

[22]  Ramjeevan Singh Thakur,et al.  An Association Rule Mining Model for Finding the Interesting Patterns in Stock Market Dataset , 2014 .

[23]  R. Suganya,et al.  Data Mining Concepts and Techniques , 2010 .

[24]  Wei Zhang,et al.  Research on the FP Growth Algorithm about Association Rule Mining , 2008, 2008 International Seminar on Business and Information Management.

[25]  Yen-Liang Chen,et al.  Market basket analysis in a multiple store environment , 2005, Decis. Support Syst..

[26]  Derya Birant,et al.  Discovering the relationships between yarn and fabric properties using association rule mining , 2017 .

[27]  Tzyy-Ching Yang,et al.  Comparison of product bundling strategies on different online shopping behaviors , 2006, Electron. Commer. Res. Appl..

[28]  Manpreet Kaur,et al.  Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining , 2016 .

[29]  Ramakrishnan Srikant,et al.  Mining generalized association rules , 1995, Future Gener. Comput. Syst..