A new optimization model for market basket analysis with allocation considerations: A genetic algorithm solution approach

Aguinis, H., Forcum, L.E., and Joo H. (2013), “Using market basket analysis in management research”, Journal of Management, Vol. 39, No. 7, pp. 1799-1824.10.1177/0149206312466147Search in Google Scholar

Badhe, V., and Richharia, P. (2016), “Survey on Association Rule Mining for Finding Frequent Item Pattern”, International Journal of Scientific Research in Science, Engineering and Technology, Vol. 2, No. 2, pp. 1349-1355.Search in Google Scholar

Barbu, A. (2013), “Eight contemporary trends in the market research industry”, Management & Marketing, Vol. 8, No. 3, pp. 429-450.Search in Google Scholar

Bradley, P.S., Fayyad, U.M. and Mangasarian, O.L. (1999), “Mathematical programming for data mining: Formulations and challenges”, INFORMS Journal on Computing, Vol. 11, pp. 217-238.10.1287/ijoc.11.3.217Search in Google Scholar

Cavique, L. (2007), “A scalable algorithm for the market basket analysis”, Journal of Retailing and Consumer Services, Vol. 14, pp. 400-407.10.1016/j.jretconser.2007.02.003Search in Google Scholar

Chen, Y., Tang, K., Shen, R., and Hu, Y. (2005), “Market basket analysis in a multiple store environment”, Decision Support Systems, Vol. 40, pp. 339-354.10.1016/j.dss.2004.04.009Search in Google Scholar

Collard, M., and Francisci, D. (2001), “Evolutionary Data Mining : an overview of Geneticbased Algorithms”, Proceedings 8th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 3-9.10.1109/ETFA.2001.996347Search in Google Scholar

Coscia, C., Fontana, R., and Semeraro, P. (2016), “Market Basket Analysis for studying cultural Consumer Behaviour: AMTP Card-Holders”, Statistica Applicata, Vol. 26, No. 2, pp. 73-92.Search in Google Scholar

Dhaenens, C., and Jourdan, L. (2016), “Metaheuristics and Association Rules”, in Dhaenes, C. and Jourdan, L. (Eds.), Metaheuristics for Big Data, John Wiley & Sons, Hoboken, pp. 87-108.10.1002/9781119347569.ch5Search in Google Scholar

Ghosh, S., Biswas, S., Sarkar, D., and Sarkar, P.P. (2010), “Mining Frequent Item sets using genetic algorithm”, International Journal of Artificial Intelligence & Applications, Vol. 1, No. 4, pp. 133-143.10.5121/ijaia.2010.1411Search in Google Scholar

Hegland, M. (2003), “Algorithms for Association Rules”, Lecture Notes in Computer Science, Vol. 2600, pp. 226-234.10.1007/3-540-36434-X_7Search in Google Scholar

Holý, V., Sokol, O. and Černý, M. (2017), “Clustering Retail Products Based on Customer Behavior”, Applied Soft Computing, In Press, Accepted Manuscript, doi.10.1016/j.asoc.2017.02.004.Search in Google Scholar

Kaur, M., and Kang, S. (2016), “Market Basket Analysis: Identify the Changing Trends of Market Data Using Association Rule Mining”, International Conference on Computational Modelling and Security (CMS 2016), Vol. 85, pp. 78-85.10.1016/j.procs.2016.05.180Search in Google Scholar

Kotsiantis, S., and Kanellopoulos, D. (2006), “Association Rules Mining: A Recent Overview” GESTS International Transactions on Computer Science and Engineering, Vol. 32, No. 1, pp. 71-82.Search in Google Scholar

Mangasarian, O.L. (1965), “Linear and nonlinear separation of patterns by linear programming”, Operations Research, Vol. 13, pp. 444-452.10.1287/opre.13.3.444Search in Google Scholar

Meisel, S., and Mattfeld, D. (2010), “Synergies of Operations Research and Data Mining”, European Journal of Operational Research, Vol. 206, No. 1, pp. 1-1010.1016/j.ejor.2009.10.017Search in Google Scholar

Sivanandam, S.N. and Deepa, S.N. (2008), Introduction to genetic algorithms, Springer, Berlin.Search in Google Scholar

Nierop, E., Fok, D. and Franses, P. (2006), “Interaction between shelf layout and marketing effectiveness and its impact on optimizing shelf arrangements”, Marketing Science, Vol. 27, No. 6, pp. 1065-1082.10.1287/mksc.1080.0365Search in Google Scholar

Olafsson, S., Li, X. and Wu, S. (2008), “Operations research and data mining”, European Journal of Operational Research, Vol. 187, pp. 1429-1448.10.1016/j.ejor.2006.09.023Search in Google Scholar

Olson, D.L. (2016), “Market Basket Analysis, Chapter Descriptive Data Mining”, Part of the series: Computational Risk Management, pp. 29-41.Search in Google Scholar

Padmanabhan, B. and Tuzhilin, A. (2003), “On the use of optimization for data mining: theoretical interactions and eCRM opportunities”, Management Science, Vol. 49, No. 10, pp. 1327-1343.10.1287/mnsc.49.10.1327.17310Search in Google Scholar

Rao, M.R. (1971), “Cluster analysis and mathematical programming”, Journal of the American Statistical Association, Vol. 66, pp. 622-626.10.1080/01621459.1971.10482319Search in Google Scholar

Russell, R.A. and Urban, T.L. (2010), “The location and allocation of products and product families on retail shelves”, Annuals of Operation Research, Vol. 179, No. 1, pp. 131-147.10.1007/s10479-008-0450-ySearch in Google Scholar

Sadh, A.S. and Shukla, N. (2013), “Association rules optimization: A survey”, International Journal of Advanced Computer Research, Vol. 3, No. 9, pp. 111-115.Search in Google Scholar

Saraf, R. and Patil, S. (2016), “Market-Basket Analysis using Agglomerative Hierarchical approach for clustering a retail items”, International Journal of Computer Science and Network Security, Vol. 16, No. 3, pp. 47-56.Search in Google Scholar

Sharma, A. and Tivary, N. (2012), “A survey of association rule mining using genetic algorithm”, International Journal of Computer Applications & Information Technology, Vol. 1, No. 2, pp. 5-11.Search in Google Scholar

Shiokawa, Y., Misawa, T., Date, Y. and Kikuchi, J. (2016), “Application of market basket analysis for the visualization of transaction data based on human lifestyle and spectroscopic measurements”, Analytical chemistry, Vol. 88, No. 5, pp. 2714-2719.10.1021/acs.analchem.5b04182Search in Google Scholar

Shrivastava, S. and Rajput, V. (2015), “Evolutionary algorithm based association rule mining: A brief survey”, International Journal of Innovation in Engineering research and Management, Vol. 2, No.1, pp. 1-7.Search in Google Scholar

Solnet, D., Boztug, Y. and Dolnicar, S. (2016), “An untapped gold mine? Exploring the potential of market basket analysis to grow hotel revenue”, International Journal of Hospitality Management, Vol. 56, pp. 119-125.10.1016/j.ijhm.2016.04.013Search in Google Scholar

Tang, K., Chen, Y. and Hu, H. (2008), “Context-based market basket analysis in a multiple-store environment”, Decision Support Systems, Vol. 45, pp. 150-163.10.1016/j.dss.2007.12.016Search in Google Scholar

Tiwari, R. and Singh, M.P. (2010), “Correlation-based Attribute Selection using Genetic Algorithm”, International Journal of Computer Application, Vol. 4, No. 8, pp. 28-34.10.5120/847-1182Search in Google Scholar

Tomar, N. and Manjhvar, A.K. (2015), “A survey on data mining optimization techniques”, International Journal of Science Technology & Engineering, Vol. 2, No. 6, pp. 130-133.Search in Google Scholar

Vinod, H.D. (1964), “Integer programming and the theory of grouping”, Journal of the American Statistical association, Vol. 64, pp. 506-519.10.1080/01621459.1969.10500990Search in Google Scholar

Waiswa, P.P.W. and Baryamureeba, V. (2008), “Extraction of interesting association rules using Genetic Algorithms”, International Journal of Computing and ICT Research, Vol. 2, No. 1, pp. 26-33.Search in Google Scholar

Yun, C., Chuang, K. and Chen, M. (2006), “Adherence clustering: an efficient method for mining market-basket clusters”, Information Systems, Vol. 31, pp. 170-186.10.1016/j.is.2004.11.008Search in Google Scholar