MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST

Association rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining. However, real-world applications are often sufficient to mine a small representative...

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Main Authors: Phan Thành Huấn, 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/407
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author Phan Thành Huấn
Lê Hoài Bắc
author_facet Phan Thành Huấn
Lê Hoài Bắc
author_sort Phan Thành Huấn
collection DOAJ
description Association rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining. However, real-world applications are often sufficient to mine a small representative subset of frequent itemsets with low computational cost in generating association rules – maximum-length frequent itemsets. Maximum-length frequent itemsets can be useful in many application domains. In this paper, we proposed an algorithm called MAXLEN-FI for mining maximum-length frequent itemsets fast using an array of co-occurrence items. Finally, we presented experimental results on both synthetic and real-life datasets, which showed that the proposed algorithm performed better than the existing algorithms.
format Article
id doaj-art-363b7c283e6d4aa5ba7b3c8b9f94bbd4
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-363b7c283e6d4aa5ba7b3c8b9f94bbd42025-02-02T14:32:09ZengDalat UniversityTạp chí Khoa học Đại học Đà Lạt0866-787X0866-787X2018-07-018210912310.37569/DalatUniversity.8.2.407(2018)246MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FASTPhan Thành Huấn0Lê Hoài Bắc1Bộ môn Tin học, Trường Đại học Khoa học Xã hội và Nhân văn, Đại học Quốc gia Tp. Hồ Chí MinhKhoa Công nghệ thông tin, Trường Đại học Khoa học Tự nhiên, Đại học Quốc gia Tp. Hồ Chí MinhAssociation rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining. However, real-world applications are often sufficient to mine a small representative subset of frequent itemsets with low computational cost in generating association rules – maximum-length frequent itemsets. Maximum-length frequent itemsets can be useful in many application domains. In this paper, we proposed an algorithm called MAXLEN-FI for mining maximum-length frequent itemsets fast using an array of co-occurrence items. Finally, we presented experimental results on both synthetic and real-life datasets, which showed that the proposed algorithm performed better than the existing algorithms.http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/407luật kết hợptập phổ biếntập phổ biến có chiều dài tối đa.
spellingShingle Phan Thành Huấn
Lê Hoài Bắc
MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
Tạp chí Khoa học Đại học Đà Lạt
luật kết hợp
tập phổ biến
tập phổ biến có chiều dài tối đa.
title MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
title_full MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
title_fullStr MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
title_full_unstemmed MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
title_short MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST
title_sort maxlen fi an algorithm for mining maximum length frequent itemsets fast
topic luật kết hợp
tập phổ biến
tập phổ biến có chiều dài tối đa.
url http://tckh.dlu.edu.vn/index.php/tckhdhdl/article/view/407
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AT lehoaibac maxlenfianalgorithmforminingmaximumlengthfrequentitemsetsfast