ACM SIGMOD Anthology TKDE dblp.uni-trier.de

What Makes Patterns Interesting in Knowledge Discovery Systems.

Abraham Silberschatz, Alexander Tuzhilin: What Makes Patterns Interesting in Knowledge Discovery Systems. IEEE Trans. Knowl. Data Eng. 8(6): 970-974(1996)
@article{DBLP:journals/tkde/SilberschatzT96,
  author    = {Abraham Silberschatz and
               Alexander Tuzhilin},
  title     = {What Makes Patterns Interesting in Knowledge Discovery Systems},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {8},
  number    = {6},
  year      = {1996},
  pages     = {970-974},
  ee        = {db/journals/tkde/SilberschatzT96.html, db/journals/tkde/SilberschatzT96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
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Abstract

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


CDROM Edition

under construction (file=TKDE8/k0970.pdf) BibTeX

References

[1]
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216 BibTeX
[2]
Peter Cheeseman: In Defense of Probability. IJCAI 1985: 1002-1009 BibTeX
[3]
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[4]
Vasant Dhar, Alexander Tuzhilin: Abstract-Driven Pattern Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 926-938(1993) BibTeX
[5]
William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus: Knowledge Discovery in Databases: An Overview. Knowledge Discovery in Databases 1991: 1-30 BibTeX
[6]
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[8]
Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo: Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994: 401-407 BibTeX
[9]
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[11]
Gregory Piatetsky-Shapiro: Discovery, Analysis, and Presentation of Strong Rules. Knowledge Discovery in Databases 1991: 229-248 BibTeX
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[16]
Jeffrey D. Ullman: Principles of Database and Knowledge-Base Systems, Volume I. Computer Science Press 1988, ISBN 0-7167-8158-1
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