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Pre-evaluation Strategy on Algorithms for Mining Top – k High Utility Item Sets

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2019
M. V. Mali, H. B. Torvi

M V Mali and H B Torvi. Pre-evaluation Strategy on Algorithms for Mining Top – k High Utility Item Sets. International Journal of Computer Applications 177(10):7-10, October 2019. BibTeX

	author = {M. V. Mali and H. B. Torvi},
	title = {Pre-evaluation Strategy on Algorithms for Mining Top – k High Utility Item Sets},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2019},
	volume = {177},
	number = {10},
	month = {Oct},
	year = {2019},
	issn = {0975-8887},
	pages = {7-10},
	numpages = {4},
	url = {},
	doi = {10.5120/ijca2019919476},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


A rising trend in data mining is a High utility item sets (HUIs) mining. It aims to find all item sets which have an utility which meets a client determined least utility edge min_util. But , for clients, it is an issue to set a min_util efficiently. So, it is not proper procedure for clients to find a least utility edge by experimentation. An excessive number of HUIs will be produced, in the case that min_util is set very low. Due to this the mining procedure may result wasteful. It is also possible that no HUIs be found, if min_util is set very high. So for addressing the above issues, we redefine the problem of high utility item sets (HUIs) mining by top-k high utility item sets ( top-k HUI ) mining. Here, desired number of HUIs to be mined is k. Two different algorithms which are named as TKU and TKO (mining Top-K Utility item sets in two stages , mining Top-K utility item sets in one stage, respectively) are proposed for mining the item sets without setting the value of min_util. We apply pre-evaluation strategy to algorithms to improve the performance.


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Utility mining, high utility item set mining, top-k high utility item set mining, frequent item set, transactional database.