A Method for Mining Association Rules

Mining association rules from datasets is the important problem in data mining. Previous approaches for mining association rules generate a large set of association rules. Such rules are difficult for users to understand and manage. It is necessary to obtain a basis, set of basic association rules,...

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Những tác giả chính: Trương, Chí Tín, Trần, Ngọc Anh, Trần, Thống, Phạm, Quang Huy
Ngôn ngữ:English
Được phát hành: Trường Đại học Đà Lạt 2011
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Truy cập trực tuyến:https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/3553
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Thư viện lưu trữ: Thư viện Trường Đại học Đà Lạt
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spelling oai:scholar.dlu.edu.vn:DLU123456789-35532013-02-04T03:26:23Z A Method for Mining Association Rules Trương, Chí Tín Trần, Ngọc Anh Trần, Thống Phạm, Quang Huy Association rules Eliminable itemsets Closed itemsets Basis Data mining Mining association rules from datasets is the important problem in data mining. Previous approaches for mining association rules generate a large set of association rules. Such rules are difficult for users to understand and manage. It is necessary to obtain a basis, set of basic association rules, such that it can derive all other association rules. In this paper, the concept of basic association rule as max-max form is proposed. Theoretical results show that max-max basic association rules will create a basis of association rule set, i.e., from it, all other association rules are derived. A method to derive them non-repeatedly is also proposed. 2011-03-02T01:46:41Z 2011-03-02T01:46:41Z 2010 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/3553 en application/pdf Trường Đại học Đà Lạt
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Association rules
Eliminable itemsets
Closed itemsets
Basis
Data mining
spellingShingle Association rules
Eliminable itemsets
Closed itemsets
Basis
Data mining
Trương, Chí Tín
Trần, Ngọc Anh
Trần, Thống
Phạm, Quang Huy
A Method for Mining Association Rules
description Mining association rules from datasets is the important problem in data mining. Previous approaches for mining association rules generate a large set of association rules. Such rules are difficult for users to understand and manage. It is necessary to obtain a basis, set of basic association rules, such that it can derive all other association rules. In this paper, the concept of basic association rule as max-max form is proposed. Theoretical results show that max-max basic association rules will create a basis of association rule set, i.e., from it, all other association rules are derived. A method to derive them non-repeatedly is also proposed.
author Trương, Chí Tín
Trần, Ngọc Anh
Trần, Thống
Phạm, Quang Huy
author_facet Trương, Chí Tín
Trần, Ngọc Anh
Trần, Thống
Phạm, Quang Huy
author_sort Trương, Chí Tín
title A Method for Mining Association Rules
title_short A Method for Mining Association Rules
title_full A Method for Mining Association Rules
title_fullStr A Method for Mining Association Rules
title_full_unstemmed A Method for Mining Association Rules
title_sort method for mining association rules
publisher Trường Đại học Đà Lạt
publishDate 2011
url https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/3553
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