ACM SIGMOD Anthology TKDE dblp.uni-trier.de

Systems for Knowledge Discovery in Databases.

Christopher J. Matheus, Philip K. Chan, Gregory Piatetsky-Shapiro: Systems for Knowledge Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 903-913(1993)
@article{DBLP:journals/tkde/MatheusCP93,
  author    = {Christopher J. Matheus and
               Philip K. Chan and
               Gregory Piatetsky-Shapiro},
  title     = {Systems for Knowledge Discovery in Databases},
  journal   = {IEEE Trans. Knowl. Data Eng.},
  volume    = {5},
  number    = {6},
  year      = {1993},
  pages     = {903-913},
  ee        = {db/journals/tkde/MatheusCP93.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Knowledge-discovery systems face challenging problems from real-world databases, which tend to be dynamic, incomplete, redundant, noisy, sparse, and very large. These problems are addressed and some techniques for handling them are described. A model of an idealized knowledge-discovery system is presented as a reference for studying and designing new systems. This model is used in the comparison of three systems: CoverStory, EXPLORA, and the Knowledge Discovery Workbench. The deficiencies of existing systems relative to the model reveal several open problems for future research.

Copyright © 1993 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


Joint ACM SIGMOD / IEEE Computer Society Anthology

CDROM Version: Load the CDROM "Volume 3 Issue 3, TKDE 1993-1995" and ... DVD Version: Load ACM SIGMOD Anthology DVD 2" and ... BibTeX

References

[1]
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Database Mining: A Performance Perspective. IEEE Trans. Knowl. Data Eng. 5(6): 914-925(1993) BibTeX
[2]
Hussein Almuallim, Thomas G. Dietterich: Learning with Many Irrelevant Features. AAAI 1991: 547-552 BibTeX
[3]
...
[4]
...
[5]
...
[6]
...
[7]
C. J. Date: An Introduction to Database Systems, 2nd Edition. Addison-Wesley 1977
BibTeX
[8]
Vasant Dhar, Alexander Tuzhilin: Abstract-Driven Pattern Discovery in Databases. IEEE Trans. Knowl. Data Eng. 5(6): 926-938(1993) BibTeX
[9]
...
[10]
...
[11]
G. Dunn, B. Everitt: An Introduction to Mathematical Taxonomy. Cambridge University Press 1982
BibTeX
[12]
Saso Dzeroski, Nada Lavrac: Inductive Learning in Deductive Databases. IEEE Trans. Knowl. Data Eng. 5(6): 939-949(1993) BibTeX
[13]
...
[14]
William J. Frawley, Gregory Piatetsky-Shapiro, Christopher J. Matheus: Knowledge Discovery in Databases: An Overview. AI Magazine 13(3): 57-70(1992) BibTeX
[15]
...
[16]
Jiawei Han, Yue Huang, Nick Cercone, Yongjian Fu: Intelligent Query Answering by Knowledge Discovery Techniques. IEEE Trans. Knowl. Data Eng. 8(3): 373-390(1996) BibTeX
[17]
Lawrence B. Holder, Diane J. Cook: Discovery of Inexact Concepts from Structural Data. IEEE Trans. Knowl. Data Eng. 5(6): 992-994(1993) BibTeX
[18]
...
[19]
Peter Hoschka, Willi Klösgen: A Support System for Interpreting Statistical Data. Knowledge Discovery in Databases 1991: 325-346 BibTeX
[20]
Kenneth A. Kaufman, Ryszard S. Michalski, Larry Kerschberg: Mining for Knowledge in Databases: Goals and General Description of the INLEN System. Knowledge Discovery in Databases 1991: 449-464 BibTeX
[21]
...
[22]
...
[23]
...
[24]
Heikki Mannila, Kari-Jouko Räihä: Dependency Inference. VLDB 1987: 155-158 BibTeX
[25]
...
[26]
John K. Ousterhout: Tcl: An Embeddable Command Language. USENIX Winter 1990: 133-146 BibTeX
[27]
Judea Pearl, Thomas Verma: A Theory of Inferred Causation. KR 1991: 441-452 BibTeX
[28]
...
[29]
Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX
[30]
...
[31]
Gregory Piatetsky-Shapiro: Discovery, Analysis, and Presentation of Strong Rules. Knowledge Discovery in Databases 1991: 229-248 BibTeX
[32]
Gregory Piatetsky-Shapiro, William J. Frawley (Eds.): Knowledge Discovery in Databases. AAAI/MIT Press 1991, ISBN 0-262-62080-4
Contents BibTeX
[33]
...
[34]
...
[35]
J. Ross Quinlan: Induction of Decision Trees. Machine Learning 1(1): 81-106(1986) BibTeX
[36]
...
[37]
...
[38]
...
[39]
...
[40]
...
[41]
...
[42]
...
[43]
Shashi Shekhar, Babak Hamidzadeh, Ashim Kohli, Mark Coyle: Learning Transformation Rules for Semantic Query Optimization: A Data-Driven Approach. IEEE Trans. Knowl. Data Eng. 5(6): 950-964(1993) BibTeX
[44]
...
[45]
Michael Stonebraker: Triggers and Inference In Database Systems. On Knowledge Base Management Systems (Islamorada) 1985: 297-314 BibTeX
[46]
...
[47]
Jeffrey D. Ullman: Principles of Database Systems, 2nd Edition. Computer Science Press 1982, ISBN 0-914894-36-6
BibTeX
[48]
Jan M. Zytkow, J. Baker: Interactive Mining of Regularities in Databases. Knowledge Discovery in Databases 1991: 31-54 BibTeX

Referenced by

  1. Daniel A. Keim, Hans-Peter Kriegel: Visualization Techniques for Mining Large Databases: A Comparison. IEEE Trans. Knowl. Data Eng. 8(6): 923-938(1996)
  2. Xiaohua Hu, Nick Cercone: Mining Knowledge Rules from Databases: A Rough Set Approach. ICDE 1996: 96-105
  3. Hongjun Lu, Rudy Setiono, Huan Liu: NeuroRule: A Connectionist Approach to Data Mining. VLDB 1995: 478-489
BibTeX
ACM SIGMOD Anthology - DBLP: [Home | Search: Author, Title | Conferences | Journals]
IEEE Transactions on Data and Knowledge Engineering: Copyright © by IEEE,
Joint ACM SIGMOD / IEEE Computer Society Anthology: Copyright © by ACM (info@acm.org) and IEEE, Corrections: anthology@acm.org
DBLP: Copyright © by Michael Ley (ley@uni-trier.de), last change: Sun May 17 00:27:53 2009