kdd | Knowledge Discovery and Data Mining (KDD)

  • 主办方 / 出版社:ACM
  • 方向:数据挖掘
  • CCF等级 / JCR分区:A类类
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August 20-21, 1995.
Active Data Mining.

Rakesh Agrawal, Giuseppe Psaila

An Assessment of PrIL.

Özden Gür-Ali, William A. Wallace

STAR: A General Architecture for the Support of Distortion Oriented Displays.

Paul Anderson, Ray Smith, Zhongwei Zhang

Learning First Order Logic Rules with a Genetic Algorithm.

Sébastien Augier, Gilles Venturini, Yves Kodratoff

Discovery and Maintenance of Functional Dependencies by Independencies.

Siegfried Bell

Intelligent Instruments: Discovering How to Turn Spectral Data into Information.

Wray L. Buntine, Tarang Patel

Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning.

Philip K. Chan, Salvatore J. Stolfo

Designing Neural Networks from Statistical Models: A New Approach to Data Exploration.

Antonio Ciampi, Yves Lechevallier

Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates.

Corinna Cortes, Harris Drucker, Dennis Hoover, Vladimir Vapnik

Limits on Learning Machine Accuracy Imposed by Data Quality.

Corinna Cortes, Lawrence D. Jackel, Wan-Ping Chiang

Applying a Data Miner To Heterogeneous Schema Integration.

Son Dao, Brad Perry

Exploiting Upper Approximation in the Rough Set Methodology.

Jitender S. Deogun, Vijay V. Raghavan, Hayri Sever

Analyzing the Benefits of Domain Knowledge in Substructure Discovery.

Surnjani Djoko, Diane J. Cook, Lawrence B. Holder

Knowledge Discovery in a Water Quality Database.

Saso Dzeroski

A Statistical Perspective On Knowledge Discovery In Databases.

John F. Elder IV, Daryl Pregibon

A Database Interface for Clustering in Large Spatial Databases.

Martin Ester, Hans-Peter Kriegel, Xiaowei Xu

Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models.

Kazuo J. Ezawa, Steven W. Norton

Data Mining for Loan Evaluation at ABN AMRO: A Case Study.

A. J. Feelders, A. J. F. le Loux, J. W. van't Zand

Knowledge Discovery in Textual Databases (KDT).

Ronen Feldman, Ido Dagan

Optimization and Simplification of Hierarchical Clusterings.

Douglas Fisher

Structured and Unstructured Induction with EDAGs.

Brian R. Gaines

Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program.

Clark Glymour

Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation.

Henry G. Goldberg, Ted E. Senator

Discriminant Adaptive Nearest Neighbor Classification.

Trevor Hastie, Robert Tibshirani

A Perspective on Databases and Data Mining.

Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen

Estimating the Robustness of Discovered Knowledge.

Chun-Nan Hsu, Craig A. Knoblock

Rough Sets Similarity-Based Learning from Databases.

Xiaohua Hu, Nick Cercone

Efficient Algorithms for Attribute-Oriented Induction.

Hoi-Yee Hwang, Ada Wai-Chee Fu

Robust Decision Trees: Removing Outliers from Databases.

George H. John

Conceptual Clustering in Structured Databases: A Practical Approach.

Alain Ketterlin, Pierre Gançarski, Jerzy J. Korczak

Anonymization Techniques for Knowledge Discovery in Databases.

Willi Klösgen

Feature Subset Selection Using the Wrapper Method: Overfitting and Dynamic Search Space Topology.

Ron Kohavi, Dan Sommerfield

Exploiting Visualization in Knowledge Discovery.

Hing-Yan Lee, Hwee-Leng Ong, Lee-Hian Quek

Knowledge-Based Scientific Discovery in Geological Databases.

Cen Li, Gautam Biswas

Discovering Frequent Episodes in Sequences.

Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo

MDL-Based Decision Tree Pruning.

Manish Mehta, Jorma Rissanen, Rakesh Agrawal

Decision Tree Induction: How Effective is the Greedy Heuristic?

Sreerama K. Murthy, Steven Salzberg

An Iterative Improvement Approach for the Discretization of Numeric Attributes in Bayesian Classifiers.

Michael J. Pazzani

Compression-Based Evaluation of Partial Determinations.

Bernhard Pfahringer, Stefan Kramer

Knowledge Discovery from Multiple Databases.

James S. Ribeiro, Kenneth A. Kaufman, Larry Kerschberg

Discovering Enrollment Knowledge in University Databases.

Arun P. Sanjeev, Jan M. Zytkow

Extracting Support Data for a Given Task.

Bernhard Schölkopf, Chris Burges, Vladimir Vapnik

Feature Extraction for Massive Data Mining.

V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss

Using Rough Sets as Tools for Knowledge Discovery.

Ning Shan, Wojciech Ziarko, Howard J. Hamilton, Nick Cercone

Data Surveying: Foundations of an Inductive Query Language.

Arno Siebes

On Subjective Measures of Interestingness in Knowledge Discovery.

Abraham Silberschatz, Alexander Tuzhilin

Using Recon for Data Cleaning.

Evangelos Simoudis, Brian Livezey, Randy Kerber

Discovery of Concurrent Data Models from Experimental Tables: A Rough Set Approach.

Andrzej Skowron, Zbigniew Suraj

Learning Bayesian Networks with Discrete Variables from Data.

Peter Spirtes, Christopher Meek

Fast Spatio-Temporal Data Mining of Large Geophysical Datasets.

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

Accelerated Quantification of Bayesian Networks with Incomplete Data.

Bo Thiesson

Automated Selection of Rule Induction Methods Based on Recursive Iteration of Resampling Methods and Multiple Statistical Testing.

Shusaku Tsumoto, Hiroshi Tanaka

Automated Discovery of Functional Components of Proteins from Amino-Acid Sequences Based on Rough Sets and Change of Representation.

Shusaku Tsumoto, Hiroshi Tanaka

Fuzzy Interpretation of Induction Results.

Xindong Wu, Petter Måhlén

Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment.

Osmar R. Zaïane, Jiawei Han

Toward a Multi-Strategy and Cooperative Discovery System.

Ning Zhong, Setsuo Ohsuga