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    Human-centered text mining: A new software system

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    Publication type
    Conference Proceeding
    Author
    Poelmans, Jonas
    Elzinga, Paul
    Neznanov, Alexei A.
    Dedene, Guido
    Viaene, Stijn
    Kuznetsov, Sergei O.
    Publication Year
    2012
    Book
    Advances in data mining. Applications and theoretical aspects. ICDM 2012. Lecture Notes in Computer Science
    Publication Begin page
    258
    Publication End page
    272
    
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    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.
    Keyword
    Formal Concept Analysis, Text Mining, Software System, Applications, Concept Lattice
    Knowledge Domain/Industry
    Digital Transformation
    Operations & Supply Chain Management
    DOI
    10.1007/978-3-642-31488-9_21
    URI
    http://hdl.handle.net/20.500.12127/6152
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-642-31488-9_21
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