An Interval Classifier for Database Mining Applications

@inproceedings{Agrawal1992AnIC,
  title={An Interval Classifier for Database Mining Applications},
  author={Rakesh Agrawal and Sakti P. Ghosh and Tomasz Imielinski and Balakrishna R. Iyer and Arun N. Swami},
  booktitle={VLDB},
  year={1992}
}
We are given a large population database that contains information about population instances. The population is known to comprise of m groups, but the population instances are not labeled with the group identi cation. Also given is a population sample (much smaller than the population but representative of it) in which the group labels of the instances are known. We present an interval classi er (IC) which generates a classi cation function for each group that can be used to e ciently retrieve… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 17 references

Induction of Decision Trees

Machine Learning • 1986
View 6 Excerpts
Highly Influenced

and C

L. Breiman, J. H. Friedman, R. A. Olshen
J. Stone, Classi cation and Regression Trees , Wadsworth, Belmont • 1984
View 10 Excerpts
Highly Influenced

About the IND Tree Package, NASA Ames Research Center, Mo ett Field, Cal- ifornia

Wray Buntine
1991
View 3 Excerpts

Alto (Editors), Col- lected Notes on the Workshop for Pattern Discov- ery in Large Databases

Wray Buntine, Matha Del
Technical Report • 1991
View 3 Excerpts

Editor), Knowledge Dis- covery in Databases

G. Piatetsky-Shapiro
1991
View 2 Excerpts

Editor), Proceedings of AAAI-91 Workshop on Knowledge Discovery in Databases

G. Piatetsky-Shapiro
1991
View 1 Excerpt

Discovery from Databases: A Review of AI and Statistical Techniques

David J. Lubinsky
1989
View 3 Excerpts

Frawley (Editors), Proceedings of IJCAI-89 Workshop on Knowledge Discovery in Databases

W. G. Piatetsky-Shapiro
1989
View 1 Excerpt

Algorithms for Clus- tering Data

A. K. Jain, R. C. Dube
Prentice Hall • 1988
View 1 Excerpt