Conferences in DBLP
Rakesh Agrawal , Giuseppe Psaila Active Data Mining. [Citation Graph (3, 0)][DBLP ] Conf ] Özden Gür-Ali , William A. Wallace An Assessment of PrIL. [Citation Graph (0, 0)][DBLP ] Conf ] Paul Anderson , Ray Smith , Zhongwei Zhang STAR: A General Architecture for the Support of Distortion Oriented Displays. [Citation Graph (0, 0)][DBLP ] Conf ] Sébastien Augier , Gilles Venturini , Yves Kodratoff Learning First Order Logic Rules with a Genetic Algorithm. [Citation Graph (2, 0)][DBLP ] Conf ] Siegfried Bell Discovery and Maintenance of Functional Dependencies by Independencies. [Citation Graph (0, 0)][DBLP ] Conf ] Wray L. Buntine , Tarang Patel Intelligent Instruments: Discovering How to Turn Spectral Data into Information. [Citation Graph (0, 0)][DBLP ] Conf ] Philip K. Chan , Salvatore J. Stolfo Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning. [Citation Graph (1, 0)][DBLP ] Conf ] Antonio Ciampi , Yves Lechevallier Designing Neural Networks from Statistical Models: A New Approach to Data Exploration. [Citation Graph (0, 0)][DBLP ] Conf ] Corinna Cortes , Harris Drucker , Dennis Hoover , Vladimir Vapnik Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates. [Citation Graph (0, 0)][DBLP ] Conf ] Corinna Cortes , Lawrence D. Jackel , Wan-Ping Chiang Limits on Learning Machine Accuracy Imposed by Data Quality. [Citation Graph (0, 0)][DBLP ] Conf ] Son Dao , Brad Perry Applying a Data Miner To Heterogeneous Schema Integration. [Citation Graph (0, 0)][DBLP ] Conf ] Jitender S. Deogun , Vijay V. Raghavan , Hayri Sever Exploiting Upper Approximation in the Rough Set Methodology. [Citation Graph (0, 0)][DBLP ] Conf ] Surnjani Djoko , Diane J. Cook , Lawrence B. Holder Analyzing the Benefits of Domain Knowledge in Substructure Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Saso Dzeroski Knowledge Discovery in a Water Quality Database. [Citation Graph (0, 0)][DBLP ] Conf ] John F. Elder IV , Daryl Pregibon A Statistical Perspective On Knowledge Discovery In Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Martin Ester , Hans-Peter Kriegel , Xiaowei Xu A Database Interface for Clustering in Large Spatial Databases. [Citation Graph (12, 0)][DBLP ] Conf ] Kazuo J. Ezawa , Steven W. Norton Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models. [Citation Graph (0, 0)][DBLP ] Conf ] A. J. Feelders , A. J. F. le Loux , J. W. van't Zand Data Mining for Loan Evaluation at ABN AMRO: A Case Study. [Citation Graph (0, 0)][DBLP ] Conf ] Ronen Feldman , Ido Dagan Knowledge Discovery in Textual Databases (KDT). [Citation Graph (2, 0)][DBLP ] Conf ] Douglas Fisher Optimization and Simplification of Hierarchical Clusterings. [Citation Graph (4, 0)][DBLP ] Conf ] Brian R. Gaines Structured and Unstructured Induction with EDAGs. [Citation Graph (0, 0)][DBLP ] Conf ] Clark Glymour Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program. [Citation Graph (0, 0)][DBLP ] Conf ] Henry G. Goldberg , Ted E. Senator Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation. [Citation Graph (0, 0)][DBLP ] Conf ] Trevor Hastie , Robert Tibshirani Discriminant Adaptive Nearest Neighbor Classification. [Citation Graph (1, 0)][DBLP ] Conf ] Marcel Holsheimer , Martin L. Kersten , Heikki Mannila , Hannu Toivonen A Perspective on Databases and Data Mining. [Citation Graph (5, 0)][DBLP ] Conf ] Chun-Nan Hsu , Craig A. Knoblock Estimating the Robustness of Discovered Knowledge. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaohua Hu , Nick Cercone Rough Sets Similarity-Based Learning from Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Hoi-Yee Hwang , Ada Wai-Chee Fu Efficient Algorithms for Attribute-Oriented Induction. [Citation Graph (1, 0)][DBLP ] Conf ] George H. John Robust Decision Trees: Removing Outliers from Databases. [Citation Graph (0, 0)][DBLP ] Conf ] A. Ketterlin , Pierre Gançarski , Jerzy J. Korczak Conceptual Clustering in Structured Databases: A Practical Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Willi Klösgen Anonymization Techniques for Knowledge Discovery in Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Ron Kohavi , Dan Sommerfield Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology. [Citation Graph (3, 0)][DBLP ] Conf ] Hing-Yan Lee , Hwee-Leng Ong , Lee-Hian Quek Exploiting Visualization in Knowledge Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Cen Li , Gautam Biswas Knowledge-Based Scientific Discovery in Geological Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Heikki Mannila , Hannu Toivonen , A. Inkeri Verkamo Discovering Frequent Episodes in Sequences. [Citation Graph (22, 0)][DBLP ] Conf ] Manish Mehta , Jorma Rissanen , Rakesh Agrawal MDL-Based Decision Tree Pruning. [Citation Graph (6, 0)][DBLP ] Conf ] Sreerama K. Murthy , Steven Salzberg Decision Tree Induction: How Effective is the Greedy Heuristic? [Citation Graph (0, 0)][DBLP ] Conf ] Michael J. Pazzani An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Pfahringer , Stefan Kramer Compression-Based Evaluation of Partial Determinations. [Citation Graph (1, 0)][DBLP ] Conf ] James S. Ribeiro , Kenneth A. Kaufman , Larry Kerschberg Knowledge Discovery from Multiple Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Arun P. Sanjeev , Jan M. Zytkow Discovering Enrollment Knowledge in University Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Bernhard Schölkopf , Chris Burges , Vladimir Vapnik Extracting Support Data for a Given Task. [Citation Graph (0, 0)][DBLP ] Conf ] V. Seshadri , Raguram Sasisekharan , Sholom M. Weiss Feature Extraction for Massive Data Mining. [Citation Graph (0, 0)][DBLP ] Conf ] Ning Shan , Wojciech Ziarko , Howard J. Hamilton , Nick Cercone Using Rough Sets as Tools for Knowledge Discovery. [Citation Graph (1, 0)][DBLP ] Conf ] Arno Siebes Data Surveying: Foundations of an Inductive Query Language. [Citation Graph (0, 0)][DBLP ] Conf ] Abraham Silberschatz , Alexander Tuzhilin On Subjective Measures of Interestingness in Knowledge Discovery. [Citation Graph (5, 0)][DBLP ] Conf ] Evangelos Simoudis , Brian Livezey , Randy Kerber Using Recon for Data Cleaning. [Citation Graph (0, 0)][DBLP ] Conf ] Andrzej Skowron , Zbigniew Suraj Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Peter Spirtes , Christopher Meek Learning Bayesian Networks with Discrete Variables from Data. [Citation Graph (0, 0)][DBLP ] Conf ] Paul E. Stolorz , Hisashi Nakamura , Edmond Mesrobian , Richard R. Muntz , Eddie C. Shek , Jose Renato Santos , J. Yi , K. Ng , S.-Y. Chien , Carlos R. Mechoso , John D. Farrara Fast Spatio-Temporal Data Mining of Large Geophysical Datasets. [Citation Graph (2, 0)][DBLP ] Conf ] Bo Thiesson Accelerated Quantification of Bayesian Networks with Incomplete Data. [Citation Graph (1, 0)][DBLP ] Conf ] Shusaku Tsumoto , Hiroshi Tanaka Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing. [Citation Graph (0, 0)][DBLP ] Conf ] Shusaku Tsumoto , Hiroshi Tanaka Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation. [Citation Graph (0, 0)][DBLP ] Conf ] Xindong Wu , Petter Måhlén Fuzzy Interpretation of Induction Results. [Citation Graph (0, 0)][DBLP ] Conf ] Osmar R. Zaïane , Jiawei Han Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. [Citation Graph (1, 0)][DBLP ] Conf ] Ning Zhong , Setsuo Ohsuga Toward a Multi-Strategy and Cooperative Discovery System. [Citation Graph (0, 0)][DBLP ] Conf ] 