Automated Discovery of Discriminant Rules for a Group of Objects in Databases
Created by W.Langdon from
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- @InProceedings{oai:CiteSeerPSU:45760,
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title = "Automated Discovery of Discriminant Rules for a Group
of Objects in Databases",
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author = "Tae-wan Ryu and Christoph F. Eick",
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booktitle = "Conference on Automated Learning and Discorvery,
CONALD-98",
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year = "1998",
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editor = "Sebastian Thrun and (Mike Meyer, Teddy Seidenfeld and
Kannan Srinivasan)",
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address = "Carnegie Mellon University, Pittsburg, PA, USA",
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month = "11-13 " # jun,
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note = "Workshop on ``Large-Scale Consumer Databases''",
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keywords = "genetic algorithms, genetic programming, MASSON",
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URL = "http://citeseer.ist.psu.edu/cache/papers/cs/2250/http:zSzzSzwww.cs.uh.eduzSz~twryuzSzpaperszSzconald-98.pdf/ryu98automated.pdf",
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URL = "http://citeseer.ist.psu.edu/45760.html",
-
citeseer-references = "oai:CiteSeerPSU:12493; oai:CiteSeerPSU:24123;
oai:CiteSeerPSU:1852; oai:CiteSeerPSU:113286;
oai:CiteSeerPSU:524488; oai:CiteSeerPSU:97771",
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annote = "The Pennsylvania State University CiteSeer Archives",
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language = "en",
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oai = "oai:CiteSeerPSU:45760",
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rights = "unrestricted",
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size = "6 pages",
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abstract = "This paper discusses our research overview and
problems in discovering useful knowledge from a
structured database. This research is an extended work
of a prototype system, MASSON that discovers
discriminant rules in the form of database query for a
set of objects using genetic programming. In order to
discover useful discriminant rules in a database, the
basic approach that is employed in this research is
first cluster the given database into clusters that
contain a set of similar objects, then the set of
objects in each cluster is provided to the discovery
system, MASSON. We also discuss several research
problems in clustering a structured database.
Introduction Discriminant rules are rules that
exclusively describe the characteristics for a set of
objects in a given data set. In this framework, the
rules cover only the specific set of objects without
covering any other objects in a given data set.
Discovery (or unsupervised learning) systems can
discover such rules by themselves wh...",
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notes = "http://www-2.cs.cmu.edu/~conald/Workshop.ps",
- }
Genetic Programming entries for
Tae-Wan Ryu
Christoph F Eick
Citations