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    IJCAI
    1997
    121views Artificial Intelligence» more  IJCAI 1997»
    Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
    13 years 9 months ago
    Using Case-Based Reasoning in Interpreting Unsupervised Inductive Learning Results
    Download  ijcai.org
    The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
    Tu Bao Ho, Chi Main Luong
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    ISCI
    1998
    139views more  ISCI 1998»
    A Rough Set Approach to Attribute Generalization in Data Mining
    13 years 8 months ago
    A Rough Set Approach to Attribute Generalization in Data Mining
    Download  www.cs.uakron.edu
    This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
    Chien-Chung Chan
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    RIAO
    2004
    164views Information Technology» more  RIAO 2004»
    Ontologies as Background Knowledge to Explore Document Collections
    13 years 9 months ago
    Ontologies as Background Knowledge to Explore Document Collections
    Download  www.irit.fr
    This paper introduces a new approach to provide users with solutions to explore a domain via an information space. A key point in our approach is that information searching and ex...
    Nathalie Aussenac-Gilles, Josiane Mothe
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    KDD
    1998
    ACM
    145views Data Mining» more  KDD 1998»
    Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
    14 years 20 days ago
    Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
    Download  www.aaai.org
    We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
    Sally I. McClean, Bryan W. Scotney, Mary Shapcott
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    DEXAW
    2010
    IEEE
    204views Database» more  DEXAW 2010»
    Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
    13 years 9 months ago
    Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
    Download  www.uni-weimar.de
    Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
    Markus Muhr, Vedran Sabol, Michael Granitzer
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