1. KDD 1995:
Montreal, Canada
Usama M. Fayyad, Ramasamy Uthurusamy (Eds.):
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August 20-21, 1995.
AAAI Press 1995, ISBN 0-929280-82-2
- Rakesh Agrawal, Giuseppe Psaila:
Active Data Mining.
3-8

- Özden Gür-Ali, William A. Wallace:
An Assessment of PrIL.
9-14

- Paul Anderson, Ray Smith, Zhongwei Zhang:
STAR: A General Architecture for the Support of Distortion Oriented Displays.
15-20

- Sébastien Augier, Gilles Venturini, Yves Kodratoff:
Learning First Order Logic Rules with a Genetic Algorithm.
21-26

- Siegfried Bell:
Discovery and Maintenance of Functional Dependencies by Independencies.
27-32

- Wray L. Buntine, Tarang Patel:
Intelligent Instruments: Discovering How to Turn Spectral Data into Information.
33-38

- Philip K. Chan, Salvatore J. Stolfo:
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning.
39-44

- Antonio Ciampi, Yves Lechevallier:
Designing Neural Networks from Statistical Models: A New Approach to Data Exploration.
45-50

- Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik:
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates.
51-56

- Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang:
Limits on Learning Machine Accuracy Imposed by Data Quality.
57-62

- Son Dao, Brad Perry:
Applying a Data Miner To Heterogeneous Schema Integration.
63-68

- Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever:
Exploiting Upper Approximation in the Rough Set Methodology.
69-74

- Surnjani Djoko, Diane J. Cook, Lawrence B. Holder:
Analyzing the Benefits of Domain Knowledge in Substructure Discovery.
75-80

- Saso Dzeroski:
Knowledge Discovery in a Water Quality Database.
81-86

- John F. Elder IV, Daryl Pregibon:
A Statistical Perspective On Knowledge Discovery In Databases.
87-93

- Martin Ester, Hans-Peter Kriegel, Xiaowei Xu:
A Database Interface for Clustering in Large Spatial Databases.
94-99

- Kazuo J. Ezawa, Steven W. Norton:
Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models.
100-105

- A. J. Feelders, A. J. F. le Loux, J. W. van't Zand:
Data Mining for Loan Evaluation at ABN AMRO: A Case Study.
106-111

- Ronen Feldman, Ido Dagan:
Knowledge Discovery in Textual Databases (KDT).
112-117

- Douglas Fisher:
Optimization and Simplification of Hierarchical Clusterings.
118-123

- Brian R. Gaines:
Structured and Unstructured Induction with EDAGs.
124-129

- Clark Glymour:
Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program.
130-135

- Henry G. Goldberg, Ted E. Senator:
Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation.
136-141

- Trevor Hastie, Robert Tibshirani:
Discriminant Adaptive Nearest Neighbor Classification.
142-149

- Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen:
A Perspective on Databases and Data Mining.
150-155

- Chun-Nan Hsu, Craig A. Knoblock:
Estimating the Robustness of Discovered Knowledge.
156-161

- Xiaohua Hu, Nick Cercone:
Rough Sets Similarity-Based Learning from Databases.
162-167

- Hoi-Yee Hwang, Ada Wai-Chee Fu:
Efficient Algorithms for Attribute-Oriented Induction.
168-173

- George H. John:
Robust Decision Trees: Removing Outliers from Databases.
174-179

- Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak:
Conceptual Clustering in Structured Databases: A Practical Approach.
180-185

- Willi Klösgen:
Anonymization Techniques for Knowledge Discovery in Databases.
186-191

- Ron Kohavi, Dan Sommerfield:
Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.
192-197

- Hing-Yan Lee, Hwee-Leng Ong, Lee-Hian Quek:
Exploiting Visualization in Knowledge Discovery.
198-203

- Cen Li, Gautam Biswas:
Knowledge-Based Scientific Discovery in Geological Databases.
204-209

- Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovering Frequent Episodes in Sequences.
210-215

- Manish Mehta, Jorma Rissanen, Rakesh Agrawal:
MDL-Based Decision Tree Pruning.
216-221

- Sreerama K. Murthy, Steven Salzberg:
Decision Tree Induction: How Effective is the Greedy Heuristic?
222-227

- Michael J. Pazzani:
An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers.
228-233

- Bernhard Pfahringer, Stefan Kramer:
Compression-Based Evaluation of Partial Determinations.
234-239

- James S. Ribeiro, Kenneth A. Kaufman, Larry Kerschberg:
Knowledge Discovery from Multiple Databases.
240-245

- Arun P. Sanjeev, Jan M. Zytkow:
Discovering Enrollment Knowledge in University Databases.
246-251

- Bernhard Schölkopf, Chris Burges, Vladimir Vapnik:
Extracting Support Data for a Given Task.
252-257

- V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss:
Feature Extraction for Massive Data Mining.
258-262

- Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone:
Using Rough Sets as Tools for Knowledge Discovery.
263-268

- Arno Siebes:
Data Surveying: Foundations of an Inductive Query Language.
269-274

- Abraham Silberschatz, Alexander Tuzhilin:
On Subjective Measures of Interestingness in Knowledge Discovery.
275-281

- Evangelos Simoudis, Brian Livezey, Randy Kerber:
Using Recon for Data Cleaning.
282-287

- Andrzej Skowron, Zbigniew Suraj:
Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach.
288-293

- Peter Spirtes, Christopher Meek:
Learning Bayesian Networks with Discrete Variables from Data.
294-299

- Paul E. Stolorz, Hisashi Nakamura, Edmond Mesrobian, Richard R. Muntz, Eddie C. Shek, Jose Renato Santos, J. Yi, Kenneth W. Ng, S.-Y. Chien, Carlos R. Mechoso, John D. Farrara:
Fast Spatio-Temporal Data Mining of Large Geophysical Datasets.
300-305

- Bo Thiesson:
Accelerated Quantification of Bayesian Networks with Incomplete Data.
306-311

- Shusaku Tsumoto, Hiroshi Tanaka:
Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing.
312-317

- Shusaku Tsumoto, Hiroshi Tanaka:
Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation.
318-324

- Xindong Wu, Petter Måhlén:
Fuzzy Interpretation of Induction Results.
325-330

- Osmar R. Zaïane, Jiawei Han:
Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment.
331-336

- Ning Zhong, Setsuo Ohsuga:
Toward a Multi-Strategy and Cooperative Discovery System.
337-343

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