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KDD
1995
ACM
193views Data Mining» more  KDD 1995»
15 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»
15 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»
15 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
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 8 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
KDD
1995
ACM
227views Data Mining» more  KDD 1995»
15 years 8 months ago
Applying a Data Miner To Heterogeneous Schema Integration
Anapplication of data miningtechniques to heterogeneous database schemaintegration is introduced. We use attribute-oriented induction to minefor characteristic and classification ...
Son Dao, Brad Perry