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1st KDD 1995: Montreal, Canada
- Usama M. Fayyad, Ramasamy Uthurusamy:
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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