Applying Data Mining Techniques For Store Layout of A Super Market

Authors

  • S. Seshadri  Student,Department of MCA, RCR Institute of Management, Tirupati, India
  • Prasad Babu  Assistant Professor, Department of MCA, RCR Institute of Management, Tirupati, India

Keywords:

Data Mining, Decision Support Systems, Association Rules, Market Basket Analysis, Apriori Algorithm , Store Layout

Abstract

The said framework is intended to discover the most incessant blends of things. It depends on building up a proficient calculation that outflanks the best accessible successive example calculations on various run of the mill informational indexes. This will help in advertising and deals. The strategy can be utilized to reveal fascinating strategically pitches and related items. The calculations from affiliation mining have been actualized and afterward best blend strategy is used to discover all the more intriguing outcomes. The examiner at that point can play out the information mining and extraction lastly finish up the outcome and settle on proper choice. Market container examination is a vital part of logical framework in retail associations to decide the arrangement of products, planning deals advancements for various fragments of clients to enhance consumer loyalty and thus the benefit of the general store. These issues for a driving general store are tended to here utilizing continuous itemset mining. The regular itemsets are mined from the advertise crate database utilizing the productive Apriori calculation and afterward the affiliation rules are created.

References

  1. Atkin, Charles K., “Observation of Parent Child Interaction in Supermarket Decision- Making,” Journal of Marketing, October, 1978. February
  2. M Hahsler, K. Hornik, “Building on the arules infrastructure for analyzing transaction data with R”, in R. Decker, H.-J. Lenz (eds.), Advances in Data Analysis, pp. 449-456, Berlin: Springer, 2007.
  3. J Han, M. Kamber, Data Mining: Concepts and Techniques, p. cm. London: Academic Press, 2001.
  4. Chen, Y.-L., Tang, K., Shen, R.-J., Hu, Y.-H.: Market basket analysis in a multiple store environment, Decision Support Systems, 2004.
  5. Berry, M.J.A., Linoff, G.S.: Data Mining Techniques: for Marketing, Sales and Customer Relationship Management (second edition), Hungry Minds Inc., 2004.
  6. Agrawal R, Srikant R, Fast algorithms for mining association rules. In: Proceedings of the 20th VLDB conference,1994, pp 487–499.

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Published

2018-03-31

Issue

Section

Research Articles

How to Cite

[1]
S. Seshadri, Prasad Babu, " Applying Data Mining Techniques For Store Layout of A Super Market, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.481-483, March-April-2018.