International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


Downloads: 102

Survey Paper | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014


Efficient Techniques for Mining High Utility Itemsets from Transactional Databases: A Survey

Ganesh Sawant, Bhawana Kanawde


Abstract: A Mining process has always remained as indivisible part in process of knowledge discovery. Especially when size of transactional datasets is large. Here we address this issue of mining high utility itemsets from large transactional databases and study different algorithms for discovering itemsets which has greater utility. Utility can be in form of profit earned or importance of item in set of transaction. Many algorithms are proposed for mining high item utility item sets, many of which degrades mining performance by producing large number of candidate itemsets. In this paper we mainly focuses on UP-Growth and UP-Growth plus algorithms. These algorithms outperforms other algorithms in terms of time and space requirement.


Keywords: Mining, transactions, itemset, utility, UP-Growth


Edition: Volume 3 Issue 12, December 2014,


Pages: 2734 - 2838


How to Cite this Article?

Ganesh Sawant, Bhawana Kanawde, "Efficient Techniques for Mining High Utility Itemsets from Transactional Databases: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SUB1585, Volume 3 Issue 12, December 2014, 2734 - 2838

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