IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM

Nowadays, the problem of data security in the process of data mining receives more attention. The question is how to balance between exploiting legal data and avoiding revealing sensitive information. There have been many approaches, and one remarkable approach is privacy preservation in association...

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Main Authors: Đoàn Minh Khuê, Lê Hoài Bắc
Format: Article
Language:English
Published: Dalat University 2018-07-01
Series:Tạp chí Khoa học Đại học Đà Lạt
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Online Access:http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/410
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author Đoàn Minh Khuê
Lê Hoài Bắc
author_facet Đoàn Minh Khuê
Lê Hoài Bắc
author_sort Đoàn Minh Khuê
collection DOAJ
description Nowadays, the problem of data security in the process of data mining receives more attention. The question is how to balance between exploiting legal data and avoiding revealing sensitive information. There have been many approaches, and one remarkable approach is privacy preservation in association rule mining to hide sensitive rules. Recently, a meta-heuristic algorithm is relatively effective for this purpose, which is cuckoo optimization algorithm (COA4ARH). In this paper, an improved version of COA4ARH is presented for calculating the minimum number of sensitive items which should be removed to hide sensitive rules, as well as limit the loss of non-sensitive rules. The experimental results gained from three real datasets showed that the proposed method has better results compared to the original algorithm in several cases.
format Article
id doaj-art-629678f131b64ff88c34024ec007efe4
institution Kabale University
issn 0866-787X
0866-787X
language English
publishDate 2018-07-01
publisher Dalat University
record_format Article
series Tạp chí Khoa học Đại học Đà Lạt
spelling doaj-art-629678f131b64ff88c34024ec007efe42025-02-02T08:05:59ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2018-07-0182455810.37569/DalatUniversity.8.2.410(2018)238IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEMĐoàn Minh Khuê0Lê Hoài Bắc1Khoa Công nghệ Thông tin, Trường Đại học Đà LạtKhoa Công nghệ Thông tin, Trường Đại học Khoa học Tự nhiên, Đại học Quốc gia TP. Hồ Chí MinhNowadays, the problem of data security in the process of data mining receives more attention. The question is how to balance between exploiting legal data and avoiding revealing sensitive information. There have been many approaches, and one remarkable approach is privacy preservation in association rule mining to hide sensitive rules. Recently, a meta-heuristic algorithm is relatively effective for this purpose, which is cuckoo optimization algorithm (COA4ARH). In this paper, an improved version of COA4ARH is presented for calculating the minimum number of sensitive items which should be removed to hide sensitive rules, as well as limit the loss of non-sensitive rules. The experimental results gained from three real datasets showed that the proposed method has better results compared to the original algorithm in several cases.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/410ẩn luật nhạy cảmkhai thác dữ liệu đảm bảo sự riêng tưtác dụng phụthuật toán tối ưu hóa cuckoo.
spellingShingle Đoàn Minh Khuê
Lê Hoài Bắc
IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
Tạp chí Khoa học Đại học Đà Lạt
ẩn luật nhạy cảm
khai thác dữ liệu đảm bảo sự riêng tư
tác dụng phụ
thuật toán tối ưu hóa cuckoo.
title IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
title_full IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
title_fullStr IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
title_full_unstemmed IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
title_short IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM
title_sort improvement of cuckoo algorithm for association rule hiding problem
topic ẩn luật nhạy cảm
khai thác dữ liệu đảm bảo sự riêng tư
tác dụng phụ
thuật toán tối ưu hóa cuckoo.
url http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/410
work_keys_str_mv AT đoanminhkhue improvementofcuckooalgorithmforassociationrulehidingproblem
AT lehoaibac improvementofcuckooalgorithmforassociationrulehidingproblem