Association rule learning

Results: 289



#Item
1Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

Interactive HMM construction based on interesting sequences Szymon Jaroszewicz National Institute of Telecommunications Warsaw, Poland

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Source URL: www.ke.tu-darmstadt.de

Language: English - Date: 2009-11-06 11:55:58
2Creedo—Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies Mario Boley, Maike Krause-Traudes, Bo Kang and Björn Jacobs University of Bonn and Fraunhofer IAIS Schloss Birli

Creedo—Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies Mario Boley, Maike Krause-Traudes, Bo Kang and Björn Jacobs University of Bonn and Fraunhofer IAIS Schloss Birli

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Source URL: poloclub.gatech.edu

Language: English - Date: 2015-07-24 15:50:18
3Fast estimation of the pattern frequency spectrum Matthijs van Leeuwen1 and Antti Ukkonen2 1  2

Fast estimation of the pattern frequency spectrum Matthijs van Leeuwen1 and Antti Ukkonen2 1 2

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Source URL: www.patternsthatmatter.org

Language: English - Date: 2014-12-31 10:52:18
4A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

A Comparison of Techniques for Selecting and Combining Class Association Rules Jan-Nikolas Sulzmann and Johannes F¨ urnkranz Department of Computer Science, TU Darmstadt Hochschulstr. 10, DDarmstadt, Germany

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Source URL: www.ke.tu-darmstadt.de

Language: English - Date: 2009-11-06 11:55:58
5Assessing Data Mining Results via Swap Randomization ARISTIDES GIONIS Yahoo! Research HEIKKI MANNILA University of Helsinki and Helsinki University of Technology

Assessing Data Mining Results via Swap Randomization ARISTIDES GIONIS Yahoo! Research HEIKKI MANNILA University of Helsinki and Helsinki University of Technology

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Source URL: www.cs.uoi.gr

Language: English - Date: 2011-11-03 16:35:56
6Finding Highly Correlated Pairs Efficiently with Powerful Pruning ∗ Joan Feigenbaum

Finding Highly Correlated Pairs Efficiently with Powerful Pruning ∗ Joan Feigenbaum

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Source URL: cs-www.cs.yale.edu

Language: English - Date: 2006-08-31 13:51:39
7One Click Mining— Interactive Local Pattern Discovery through Implicit Preference and Performance Learning∗ Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, and Stefan Wrobel Fraunhofer IAIS and University of B

One Click Mining— Interactive Local Pattern Discovery through Implicit Preference and Performance Learning∗ Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, and Stefan Wrobel Fraunhofer IAIS and University of B

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Source URL: poloclub.gatech.edu

Language: English - Date: 2013-07-08 06:01:56
8Useful Patterns (UP’10) ACM SIGKDD Workshop Report Jilles Vreeken Nikolaj Tatti

Useful Patterns (UP’10) ACM SIGKDD Workshop Report Jilles Vreeken Nikolaj Tatti

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Source URL: eda.mmci.uni-saarland.de

Language: English - Date: 2011-01-03 09:22:14
9Microsoft PowerPoint - Leung_slides.ppt [Compatibility Mode]

Microsoft PowerPoint - Leung_slides.ppt [Compatibility Mode]

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Source URL: www.usefulpatterns.org

Language: English - Date: 2012-07-05 06:56:14
101  Association Discovery in Two-View Data Matthijs van Leeuwen and Esther Galbrun Abstract—Two-view datasets are datasets whose attributes are naturally split into two sets, each providing a different view on the same

1 Association Discovery in Two-View Data Matthijs van Leeuwen and Esther Galbrun Abstract—Two-view datasets are datasets whose attributes are naturally split into two sets, each providing a different view on the same

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Source URL: www.patternsthatmatter.org

Language: English - Date: 2016-01-15 06:48:18