Human-centered text mining: A new software system
Poelmans, Jonas Elzinga, Paul Neznanov, Alexei A. Dedene, Guido Viaene, Stijn Kuznetsov, Sergei O.
Poelmans, Jonas
Elzinga, Paul
Neznanov, Alexei A.
Dedene, Guido
Viaene, Stijn
Kuznetsov, Sergei O.
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Publication Type
Conference Proceeding
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Publication Year
2012
Journal
Book
Advances in data mining. Applications and theoretical aspects. ICDM 2012. Lecture Notes in Computer Science
Publication Volume
Publication Issue
Publication Begin page
258
Publication End page
272
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Collections
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.
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Keywords
Formal Concept Analysis, Text Mining, Software System, Applications, Concept Lattice