Human-centered text mining: a new software system

Authors
  • J. Poelmans
  • P. Elzinga
  • A.A. Neznanov
  • G. Dedene
  • S. Viaene
  • S. Kuznetsov
Publication date 2012
Host editors
  • P. Perner
Book title Advances in Data Mining : Applications and Theoretical Aspects
Book subtitle 12th Industrial Conference, ICDM 2012, Berlin, Germany, July 13-20 2012: proceedings
ISBN
  • 9783642314872
ISBN (electronic)
  • 9783642314889
Series Lecture Notes in Computer Science
Event 12th Industrial Conference on Data Mining
Pages (from-to) 258-272
Publisher Heidelberg: Springer
Organisations
  • Faculty of Economics and Business (FEB) - Amsterdam Business School Research Institute (ABS-RI)
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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1007/978-3-642-31488-9_21
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