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    Partition triples: A tool for reduction of data sets

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    j35-jgb-soe.pdf (69.96Kb)
    Issue Date
    1996-12
    Author
    Grzymala-Busse, Jerzy W.
    Than, Soe
    Publisher
    ACADEMIC PRESS INC JNL-COMP SUBSCRIPTIONS
    Format
    71642 bytes
    Type
    Article
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    Abstract
    Data sets discussed in this paper are presented as tables with rows corresponding to examples (entities, objects) and columns to attributes. A partition triple is defined for such a table as a triple of partitions on the set of examples, the set of attributes, and the set of attribute values, respectively, preserving the structure of a table. The idea of a partition triple is an extension of the idea of a partition pair, introduced by J. Hartmanis and J. Steams in automata theory. Results characterizing partition triples and algorithms for computing partition triples are presented. The theory is illustrated by an example of an application in machine learning from examples. (C) 1996 Academic Press, Inc.
    URI
    http://hdl.handle.net/1808/417
    DOI
    https://doi.org/10.1006/jcss.1996.0088
    Collections
    • Electrical Engineering and Computer Science Scholarly Works [301]
    Citation
    GrzymalaBusse, JW; Than, S. Partition triples: A tool for reduction of data sets. JOURNAL OF COMPUTER AND SYSTEM SCIENCES. Dec 1996. 53(3):575-582

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    Contact KU ScholarWorks
    785-864-8983
    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    785-864-8983

    KU Libraries
    1425 Jayhawk Blvd
    Lawrence, KS 66045
    Image Credits
     

     

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