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Business Strategy Prediction System for Market Basket Analysis

In: Quality, IT and Business Operations

Author

Listed:
  • Sumit Jain

    (SCSIT-DAVV)

  • Nand Kishore Sharma

    (ATC)

  • Sanket Gupta

    (ATC)

  • Nitika Doohan

    (MediCapsIndore)

Abstract

As per the today’s scenario, the current technology of modern trend is required to improve the performance by minimum effort, to find more valuable items, and to extract precious information for industry people from large dataset efficiently that contains sales transactions (e.g., collections of items bought by customers or details of a website frequentation). We are proposing novel approach Business Strategy Prediction System for Market Basket Analysis. It is to find that all existing algorithms are working to find the minimal frequent item set first, but here with the help of those methods, we are finding the maximal item set. When this algorithm encountered on dense data which having the large numbers of long patterns emerge that will give the more accurate and effective result which specify all of the frequent item sets.

Suggested Citation

  • Sumit Jain & Nand Kishore Sharma & Sanket Gupta & Nitika Doohan, 2018. "Business Strategy Prediction System for Market Basket Analysis," Springer Proceedings in Business and Economics, in: P.K. Kapur & Uday Kumar & Ajit Kumar Verma (ed.), Quality, IT and Business Operations, pages 93-106, Springer.
    • Handle: RePEc:spr:prbchp:978-981-10-5577-5_8
    DOI: 10.1007/978-981-10-5577-5_8
    as

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