Article

MIME: a framework for interactive visual pattern mining

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ECML PKDD'11: Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

Pages 634 - 637

Published: 05 September 2011 Publication History

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Abstract

We present a framework for interactive visual pattern mining. Our system enables the user to browse through the data and patterns easily and intuitively, using a toolbox consisting of interestingness measures, mining algorithms and post-processing algorithms to assist in identifying interesting patterns. By mining interactively, we enable the user to combine their subjective interestingness measure and background knowledge with a wide variety of objective measures to easily and quickly mine the most important and interesting patterns. Basically, we enable the user to become an essential part of the mining algorithm. Our demo currently applies to mining interesting itemsets and association rules, and its extension to episodes and decision trees is ongoing research.

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Cited By

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van Leeuwen MCardinaels L(2015)VIPER - Visual pattern explorerProceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III10.5555/3120539.3120584(333-336)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.5555/3120539.3120584
Leeuwen MCardinaels L(2015)VIPER --- Visual Pattern ExplorerProceedings, Part III, of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 928610.5555/2951557.2951602(333-336)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.5555/2951557.2951602
Boley MMampaey MKang BTokmakov PWrobel S(2013)One click miningProceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics10.1145/2501511.2501517(27-35)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2501511.2501517

MIME: a framework for interactive visual pattern mining
1. Information systems
  1. Information systems applications

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Published In

ECML PKDD'11: Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III

September 2011

657 pages

ISBN:9783642238079

Editors:
Dimitrios Gunopulos
University of Athens, Greece
,
Thomas Hofmann
Google Switzerland GmbH, Zurich, Switzerland
,
Donato Malerba
University of Bari "Aldo Moro", Bari, Italy
,
Michalis Vazirgiannis
Athens University of Economics and Business, Greece

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 05 September 2011

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van Leeuwen MCardinaels L(2015)VIPER - Visual pattern explorerProceedings of the 2015th European Conference on Machine Learning and Knowledge Discovery in Databases - Volume Part III10.5555/3120539.3120584(333-336)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.5555/3120539.3120584
Leeuwen MCardinaels L(2015)VIPER --- Visual Pattern ExplorerProceedings, Part III, of the European Conference on Machine Learning and Knowledge Discovery in Databases - Volume 928610.5555/2951557.2951602(333-336)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.5555/2951557.2951602
Boley MMampaey MKang BTokmakov PWrobel S(2013)One click miningProceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics10.1145/2501511.2501517(27-35)Online publication date: 11-Aug-2013
https://dl.acm.org/doi/10.1145/2501511.2501517

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