Association rule learning

Results: 289



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51Information Is Your Business Volume 15, Number 10 www.dmreview.com  data mining

Information Is Your Business Volume 15, Number 10 www.dmreview.com data mining

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Source URL: www.the-modeling-agency.com

Language: English - Date: 2012-03-11 19:18:10
52IMSL® Library for Java Release Notes, Version 7.0 Contents Part 1: Introduction ...................................................................................................................................... 3 P

IMSL® Library for Java Release Notes, Version 7.0 Contents Part 1: Introduction ...................................................................................................................................... 3 P

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Source URL: docs.roguewave.com

Language: English - Date: 2015-03-24 20:05:30
53Mining Surprising Patterns and Their Explanations in Clinical Data Yen-Ting Kuo, Andrew Lonie, Adrian R. Pearce, Liz Sonenberg∗ Department of Computing and Information Systems The University of Melbourne, Australia Mar

Mining Surprising Patterns and Their Explanations in Clinical Data Yen-Ting Kuo, Andrew Lonie, Adrian R. Pearce, Liz Sonenberg∗ Department of Computing and Information Systems The University of Melbourne, Australia Mar

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Source URL: people.eng.unimelb.edu.au

Language: English - Date: 2014-04-28 04:42:25
54Journal of Machine Learning Research403  Submitted 1/08; Revised 8/08; Published 2/09 Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

Journal of Machine Learning Research403 Submitted 1/08; Revised 8/08; Published 2/09 Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining

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Source URL: www-ai.ijs.si

Language: English - Date: 2013-03-25 05:42:16
55This PDF is an unpublished extended 6 pages version of the 3 pages paper published at: Fournier-Viger, P., Tseng, V. STNS: Mining Top-K Non-Redundant Sequential Rules. Proc. 28th Symposium on Applied Computing

This PDF is an unpublished extended 6 pages version of the 3 pages paper published at: Fournier-Viger, P., Tseng, V. STNS: Mining Top-K Non-Redundant Sequential Rules. Proc. 28th Symposium on Applied Computing

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Source URL: www.philippe-fournier-viger.com

Language: English - Date: 2013-03-30 14:58:58
56Market Basket Analysis with Networks Troy Raeder, Nitesh V. Chawla Interdisciplinary Center for Network Science and Applications Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN 4655

Market Basket Analysis with Networks Troy Raeder, Nitesh V. Chawla Interdisciplinary Center for Network Science and Applications Department of Computer Science and Engineering University of Notre Dame Notre Dame, IN 4655

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Source URL: www.islab.ntua.gr

Language: English - Date: 2014-05-16 09:02:36
57FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning

FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning

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Source URL: www.philippe-fournier-viger.com

Language: English - Date: 2014-06-03 21:44:11
58Novel Concise Representations of High Utility Itemsets using Generator Patterns Philippe Fournier-Viger1 Cheng Wei Wu2 Vincent S. Tseng2

Novel Concise Representations of High Utility Itemsets using Generator Patterns Philippe Fournier-Viger1 Cheng Wei Wu2 Vincent S. Tseng2

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Source URL: www.philippe-fournier-viger.com

Language: English - Date: 2014-12-24 21:55:27
59Microsoft PowerPoint - cormode1.ppt

Microsoft PowerPoint - cormode1.ppt

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Source URL: www.rocq.inria.fr

Language: English - Date: 2007-05-09 10:15:11
60Novel Concise Representations of High Utility Itemsets using Generator Patterns

Novel Concise Representations of High Utility Itemsets using Generator Patterns

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Source URL: www.philippe-fournier-viger.com

Language: English - Date: 2014-12-25 06:39:52