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Classification rule learning with APRIORI-C - Jovanoski - 141 個引述 Apriori-sd: Adapting association rule learning to … - Kavšek - 122 個引述 APRIORI-SD: Adapting association rule learning to … - Kavšek - 232 個引述 | |
Classification Rule Learning with APRIORI-C
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由 V Jovanoski 著作2001被引用 141 次 — This paper presents the APRIORI-C algorithm, modifying the association rule learner APRIORI to learn classification rules. The algorithm achieves decreased ...
Classification Rule Learning with APRIORI-C
Springer
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由 V Jovanoski 著作2001被引用 141 次 — This paper presents the APRIORI-C algorithm, modifying the association rule learner APRIORI to learn classification rules.
Classification Rule Learning with APRIORI-C
Springer
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由 V Jovanoski 著作2001被引用 141 次 — This paper presents the APRIORI-C algorithm, modifying the association rule learner APRIORI to learn classification rules. The algorithm achieves decreased time ...
8 頁
Classification rule learning with APRIORI-C | Request PDF
ResearchGate
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This paper presents the APRIORI-C algorithm, modifying the association rule learner APRIORI to learn classification rules. The algorithm achieves decreased ...
Integrating Classification and Association Rule Mining
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The Association for the Advancement of Artificial Intelligence
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由 BLWHY Ma 著作1998被引用 157 次 — It consists of two parts, a rule generator (called CBA-RG), which is based on algorithm Apriori for finding association rules in. (Agrawal and Srikant 1994), ...
7 頁
Chapter # 1 Classification Using Association Rules
SCI2S
https://sci2s.ugr.es › capitulo › 2001-Liu-CBA2
SCI2S
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由 B Liu 著作被引用 180 次 — Mining association rules for classification: The Apriori algorithm finds association rules in a transaction data of items. A classification dataset, however ...
11 頁
Association rule learning
Wikipedia
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Wikipedia
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Association rule learning is a rule-based machine learning method for discovering interesting relations between variables in large databases.
ROCCER: A ROC convex hull rule learning algorithm
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The AprioriSD algorithm [11] is a more sophisticated version of AprioriC, which adds a weighted relative coverage procedure to select the most relevant rules in ...
Algorithm Study of New Association Rules and ...
IOPscience
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IOPscience
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由 X Yang 著作2021被引用 4 次 — Firstly, the most algorithms are based on Apriori, which need high cost to dig multi-layer and multi-dimension association rule. Second, the concept layers are ...
Full article: APRIORI-SD: ADAPTING ASSOCIATION RULE ...
Taylor & Francis Online
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Taylor & Francis Online
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由 B Kavšek 著作2006被引用 232 次 — This paper presents a subgroup discovery algorithm APRIORI-SD, developed by adapting association rule learning to subgroup discovery.