Business Strategy Prediction System for Market Basket Analysis

Sumit Jain (), Nand Kishore Sharma (), Sanket Gupta () and Nitika Doohan ()
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Sumit Jain: SCSIT-DAVV
Nand Kishore Sharma: ATC
Sanket Gupta: ATC
Nitika Doohan: MediCapsIndore

A chapter in Quality, IT and Business Operations, 2018, pp 93-106 from Springer

Abstract: 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.

Keywords: Business strategy prediction system; Market basket analysis; Performance result (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-10-5577-5_8

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DOI: 10.1007/978-981-10-5577-5_8

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