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Research article

First published 2006-3

Searching for high-support itemsets in itemset trees

Yu Li, Miroslav Kubat

Intelligent Data Analysis: An International Journal

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Research article

First published 2017-5

An effective method for approximate representation of frequent itemsets

Jheng-Nan Huang, Tzung-Pei Hong, Ming-Chao Chiang

Intelligent Data Analysis: An International Journal

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Research article

First published 2016-7

Binary partition for itemsets expansion in mining high utility itemsets

Wei Song, Chunhua Wang, Jinhong Li

Intelligent Data Analysis: An International Journal

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Research article

First published 2005-1

Automatic discovery of locally frequent itemsets in the presence of highly frequent itemsets

Ferenc Bodon, Ioannis N. Kouris, Christos H. Makris [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2015-3

Tightening upper bounds for mining weighted frequent itemsets

Guo-Cheng Lan, Tzung-Pei Hong, Hong-Yu Lee [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2014-11

Frequent positive and negative (FPN) itemset approach for outlier detection

Anis Suhailis Abdul Kadir, Azuraliza Abu Bakar, Abdul Razak Hamdan

Intelligent Data Analysis: An International Journal

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Research article

First published 2009-8

An efficient algorithm for mining frequent maximal and closed itemsets

Tarek F. Gharib

International Journal of Hybrid Intelligent Systems

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Research article

First published 2019-11

Probabilistic maximal frequent itemset mining methods over uncertain databases

Haifeng Li, Mo Hai, Ning Zhang [...]

Intelligent Data Analysis: An International Journal

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Research article

First published 2022-07-21

Incrementally updating high utility quantitative itemsets mining algorithm

Meng Han, Zhihui Shan, Qiang Han

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

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Research article

First published 2013-7

UT-Tree: Efficient mining of high utility itemsets from data streams

Lin Feng, Le Wang, Bo Jin

Intelligent Data Analysis: An International Journal

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