Shahi, Bhavya and Suchira, Basu and Geetha, M (2017) Discovery of high utility rare item sets using PCR Tree. In: International Conference on Smart Innovations in Communications and Computational Sciences, 23/06/2017, MOGA, PUNJAB.

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Abstract

Data mining is used to extract interesting relationships between data in a large database. High utility rare itemsets in a transaction database can be used by retail stores to adapt their marketing strategies in order to increase their profits. Even though the itemsets mined are infrequent, since they generate a high profit for the store, marketing strategies can be used to increase the sales f these items. In this paper, a new method called the PCR tree method, is roposed to generate all high utility, rare itemsets while keeping the algorithm ime efficient. The proposed method, generates the itemsets in one scan of the atabase. Results show that the time taken by the proposed method is nearly alf that of the existing method i.e. the UPR tree

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