ACM SIGMOD Anthology TKDE dblp.uni-trier.de

An Information Theoretic Approach to Rule Induction from Databases.

Padhraic Smyth, Rodney M. Goodman: An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowl. Data Eng. 4(4): 301-316(1992)
@article{DBLP:journals/tkde/SmythG92,
  author    = {Padhraic Smyth and
               Rodney M. Goodman},
  title     = {An Information Theoretic Approach to Rule Induction from Databases},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {4},
  number    = {4},
  year      = {1992},
  pages     = {301-316},
  ee        = {db/journals/tkde/SmythG92.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
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Abstract

Copyright © 1992 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


Joint ACM SIGMOD / IEEE Computer Society Anthology

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References

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Referenced by

  1. Ke Wang, Senqiang Zhou, Shiang Chen Liew: Building Hierarchical Classifiers Using Class Proximity. VLDB 1999: 363-374
  2. Roberto J. Bayardo Jr., Rakesh Agrawal, Dimitrios Gunopulos: Constraint-Based Rule Mining in Large, Dense Databases. ICDE 1999: 188-197
  3. Roberto J. Bayardo Jr.: Efficiently Mining Long Patterns from Databases. SIGMOD Conference 1998: 85-93
  4. Andrew K. C. Wong, Yang Wang: High-Order Pattern Discovery from Discrete-Valued Data. IEEE Trans. Knowl. Data Eng. 9(6): 877-893(1997)
  5. Se June Hong: R-MINI: An Iterative Approach for Generating Minimal Rules from Examples. IEEE Trans. Knowl. Data Eng. 9(5): 709-717(1997)
  6. Sumit Sarkar, Ishwar Murthy: Constructing Efficient Belief Network Structures With Expert Provided Information. IEEE Trans. Knowl. Data Eng. 8(1): 134-143(1996)
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