Title: Human-centered text mining: a new software system
Authors: Poelmans, Jonas
Elzinga, Paul
Neznanov, A.
Dedene, Guido
Viaene, Stijn
Kuznetsov, S.
Issue Date: 2012
Publisher: Springer
Host Document: Lecture Notes in Artificial Intelligence vol:7377 pages:258-272
Conference: Industrial Conference on Data Mining edition:12 location:Berlin (Germany) date:16-21 July 2012
Abstract: In this paper we introduce a novel human-centered data mining software system which was designed to gain intelligence from unstructured textual data. The architecture takes its roots in several case studies which were a collaboration between the Amsterdam-Amstelland Police, GasthuisZusters Antwerpen (GZA) hospitals and KU Leuven. It is currently being implemented by bachelor and master students of Moscow Higher School of Economics. At the core of the system are concept lattices which can be used to interactively explore the data. They are combined with several other complementary statistical data analysis techniques such as Emergent Self Organizing Maps and Hidden Markov Models.
ISBN: 978-3-642-31487-2
978-3-642-31488-9 online
ISSN: 0302-9743
1611-3349 online
VABB publication type: VABB-5
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Research Center for Management Informatics (LIRIS), Leuven
Department of Decision Sciences and Information Management, Leuven - miscellaneous
Algemene Diensten - UC Leuven

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