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  1. Journal of Intelligent Information Systems
  2. Journal of Intelligent Information Systems : Volume 42
  3. Journal of Intelligent Information Systems : Volume 42, Issue 2, April 2014
  4. Semantic subgroup explanations
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Journal of Intelligent Information Systems : Volume 48
Journal of Intelligent Information Systems : Volume 47
Journal of Intelligent Information Systems : Volume 46
Journal of Intelligent Information Systems : Volume 45
Journal of Intelligent Information Systems : Volume 44
Journal of Intelligent Information Systems : Volume 43
Journal of Intelligent Information Systems : Volume 42
Journal of Intelligent Information Systems : Volume 42, Issue 3, June 2014
Journal of Intelligent Information Systems : Volume 42, Issue 2, April 2014
Mining complex patterns
Link classification with probabilistic graphs
Hierarchical object-driven action rules
Semantic subgroup explanations
A method for reduction of examples in relational learning
A contribution to the discovery of multidimensional patterns in healthcare trajectories
Finding the most descriptive substructures in graphs with discrete and numeric labels
Journal of Intelligent Information Systems : Volume 42, Issue 1, February 2014
Journal of Intelligent Information Systems : Volume 41
Journal of Intelligent Information Systems : Volume 40
Journal of Intelligent Information Systems : Volume 39
Journal of Intelligent Information Systems : Volume 38
Journal of Intelligent Information Systems : Volume 37
Journal of Intelligent Information Systems : Volume 36
Journal of Intelligent Information Systems : Volume 35
Journal of Intelligent Information Systems : Volume 34
Journal of Intelligent Information Systems : Volume 33
Journal of Intelligent Information Systems : Volume 32
Journal of Intelligent Information Systems : Volume 31
Journal of Intelligent Information Systems : Volume 30
Journal of Intelligent Information Systems : Volume 29
Journal of Intelligent Information Systems : Volume 28
Journal of Intelligent Information Systems : Volume 27
Journal of Intelligent Information Systems : Volume 26
Journal of Intelligent Information Systems : Volume 25
Journal of Intelligent Information Systems : Volume 24
Journal of Intelligent Information Systems : Volume 23
Journal of Intelligent Information Systems : Volume 22
Journal of Intelligent Information Systems : Volume 21
Journal of Intelligent Information Systems : Volume 20
Journal of Intelligent Information Systems : Volume 19
Journal of Intelligent Information Systems : Volume 18
Journal of Intelligent Information Systems : Volume 17
Journal of Intelligent Information Systems : Volume 16
Journal of Intelligent Information Systems : Volume 15
Journal of Intelligent Information Systems : Volume 14
Journal of Intelligent Information Systems : Volume 13
Journal of Intelligent Information Systems : Volume 12
Journal of Intelligent Information Systems : Volume 11
Journal of Intelligent Information Systems : Volume 10
Journal of Intelligent Information Systems : Volume 9
Journal of Intelligent Information Systems : Volume 8

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Semantic subgroup explanations

Content Provider Springer Nature Link
Author Vavpetič, Anže Podpečan, Vid Lavrač, Nada
Copyright Year 2013
Abstract Subgroup discovery (SD) methods can be used to find interesting subsets of objects of a given class. While subgroup describing rules are themselves good explanations of the subgroups, domain ontologies can provide additional descriptions to data and alternative explanations of the constructed rules. Such explanations in terms of higher level ontology concepts have the potential of providing new insights into the domain of investigation. We show that this additional explanatory power can be ensured by using recently developed semantic SD methods. We present a new approach to explaining subgroups through ontologies and demonstrate its utility on a motivational use case and on a gene expression profiling use case where groups of patients, identified through SD in terms of gene expression, are further explained through concepts from the Gene Ontology and KEGG orthology. We qualitatively compare the methodology with the supporting factors technique for characterizing subgroups. The developed tools are implemented within a new browser-based data mining platform ClowdFlows.
Starting Page 233
Ending Page 254
Page Count 22
File Format PDF
ISSN 09259902
Journal Journal of Intelligent Information Systems
Volume Number 42
Issue Number 2
e-ISSN 15737675
Language English
Publisher Springer US
Publisher Date 2013-12-06
Publisher Place Boston
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Data mining Semantic data mining Subgroup discovery Ontologies Microarray data Information Storage and Retrieval Data Structures, Cryptology and Information Theory Artificial Intelligence (incl. Robotics) Business Information Systems Document Preparation and Text Processing
Content Type Text
Resource Type Article
Subject Artificial Intelligence Computer Networks and Communications Information Systems Software Hardware and Architecture
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