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KDD
1995
ACM
92views Data Mining» more  KDD 1995»
13 years 8 months ago
A Database Interface for Clustering in Large Spatial Databases
Martin Ester, Hans-Peter Kriegel, Xiaowei Xu
KDD
1995
ACM
108views Data Mining» more  KDD 1995»
13 years 8 months ago
A Statistical Perspective On Knowledge Discovery In Databases
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
John F. Elder IV, Daryl Pregibon
KDD
1995
ACM
106views Data Mining» more  KDD 1995»
13 years 8 months ago
Structured and Unstructured Induction with EDAGs
One objective of knowledge acquisition using inductive modeling has been the development of correct and effectively computable descriptions that can also be assimilated and used b...
Brian R. Gaines
KDD
1995
ACM
99views Data Mining» more  KDD 1995»
13 years 8 months ago
Knowledge Discovery in a Water Quality Database
Weapply rule induction to mine for knowledgein a database which stores data obtained by monitoring the water quality of the rivers in Slovenia. The database contains measurementda...
Saso Dzeroski
KDD
1995
ACM
114views Data Mining» more  KDD 1995»
13 years 8 months ago
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration
We develop,in the context of discriminantanalysis,a generalapproachto the designof neuralarchitectures. It consistsin building a neuralnet ‘around’a statistical model family; ...
Antonio Ciampi, Yves Lechevallier
KDD
1995
ACM
193views Data Mining» more  KDD 1995»
13 years 8 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
KDD
1995
ACM
102views Data Mining» more  KDD 1995»
13 years 8 months ago
Exploiting Upper Approximation in the Rough Set Methodology
Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
13 years 8 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo