ICCCES-16

FINDING HIGH UTILITY ITEMSETS OVER DYNAMIC TRANSACTIONAL DATABASE USING UP-GROWTH AND UP-GROWTH+ ALGORITHM (140579)

DOI :

Abstract : Mining high utility item sets is an important research area in data mining. Finding item sets with high utility like profit from database is known as high utility item set mining. Different algorithms have been work on this area,but some of them have problem of generating large number of Potential High Utility Item sets (PHUIs). Due to this performance of mining is minimized in case of execution time. In this paper we have focus on UP-Growth and UP-Growth+ algorithm which overcomes this limitation. This technique uses tree based data structure,UP-Tree for generating high utility item sets with two scan of database. In this paper we have extend the working of these algorithms on incremental database because these existing algorithms have consider only static database. This limitation has covered in our system. When database is updated,our system regenerates UP-tree efficiently and generates high utility item sets from dynamic database. Also we have compared the performance of both algorithms.

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Downloads : 1492

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Modified Date : 2016-01-30

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Ms. Anita A. Bhosale , Mr. Siddheshwar V. Patil , Ms.Pallavi S.Kadam , "FINDING HIGH UTILITY ITEMSETS OVER DYNAMIC TRANSACTIONAL DATABASE USING UP-GROWTH AND UP-GROWTH+ ALGORITHM", IJIERT - International Journal of Innovations in Engineering Research and Technology, ICCCES-16, ISSN : 2394-3696, Page No.