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

by M. V. Mali, H. B. Torvi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 177 - Number 10
Year of Publication: 2019
Authors: M. V. Mali, H. B. Torvi
10.5120/ijca2019919476

M. V. Mali, H. B. Torvi . Pre-evaluation Strategy on Algorithms for Mining Top – k High Utility Item Sets. International Journal of Computer Applications. 177, 10 ( Oct 2019), 7-10. DOI=10.5120/ijca2019919476

@article{ 10.5120/ijca2019919476,
author = { M. V. Mali, 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 = { Oct 2019 },
volume = { 177 },
number = { 10 },
month = { Oct },
year = { 2019 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume177/number10/30931-2019919476/ },
doi = { 10.5120/ijca2019919476 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:45:28.754721+05:30
%A M. V. Mali
%A H. B. Torvi
%T Pre-evaluation Strategy on Algorithms for Mining Top – k High Utility Item Sets
%J International Journal of Computer Applications
%@ 0975-8887
%V 177
%N 10
%P 7-10
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

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

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