Data Mining and Knowledge Discovery, Volume 3

Volume 3, Number 1, March 1999

Saso Dzeroski, Nada Lavrac: Editorial. 5-6
Luc Dehaspe, Hannu Toivonen: Discovery of Frequent DATALOG Patterns. 7-36
Ashwin Srinivasan, Ross D. King: Feature Construction with Inductive Logic Programming: A Study of Quantitative Predictions of Biological Activity Aided by Structural Attributes. 37-57
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart Demoen: Scaling Up Inductive Logic Programming by Learning from Interpretations. 59-93
Ashwin Srinivasan: A Study of Two Sampling Methods for Analyzing Large Datasets with ILP. 95-123

Foster J. Provost, Venkateswarlu Kolluri: A Survey of Methods for Scaling Up Inductive Algorithms. 131-169
Richard D. Lawrence, George S. Almasi, Holly E. Rushmeier: A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems. 171-195
Don Coppersmith, Se June Hong, Jonathan R. M. Hosking: Partitioning Nominal Attributes in Decision Trees. 197-217
Brij M. Masand, Piew Datta, D. R. Mani, Bin Li: CHAMP: A Prototype for Automated Cellular Churn Prediction. 219-225

Yike Guo, Robert L. Grossman: Editorial. 235-236
Anurag Srivastava, Eui-Hong Han, Vipin Kumar, Vineet Singh: Parallel Formulations of Decision-Tree Classification Algorithms. 237-261
Xiaowei Xu, Jochen Jäger, Hans-Peter Kriegel: A Fast Parallel Clustering Algorithm for Large Spatial Databases. 263-290
David Wai-Lok Cheung, Yongqiao Xiao: Effect of Data Distribution in Parallel Mining of Associations. 291-314
Yang Xiang, Tongsheng Chu: Parallel Learning of Belief Networks in Large and Difficult Domains. 315-339

Tomasz Imielinski, Aashu Virmani, Amin Abdulghani: DMajor-Application Programming Interface for Database Mining. 347-372
Tomasz Imielinski, Aashu Virmani: MSQL: A Query Language for Database Mining. 373-408
Pedro Domingos: The Role of Occam's Razor in Knowledge Discovery. 409-425