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Home / Proceedings / Proceedings of the First International Conference on Knowledge Discovery and Data Mining /

Book One

All Contents

  • Fuzzy Interpretation of Induction Results

    Xindong Wu, Petter Mahlen

    PDF
  • Optimization and Simplification of Hierarchical Clusterings

    Doug Fisher

    PDF
  • Knowledge Discovery in a Water Quality Database

    Saso Dzeroski, Jozef Stefan Institute and Jasna Grbovic, Hydrometeorological Institute of Slovenia

    PDF
  • A Statistical Perspective On Knowledge Discovery In Databases

    John Elder, Daryl Pregibon

    PDF
  • Rough Sets Similarity-Based Learning from Databases

    Xiaohua Hu and Nick Cercone, University of Regina, Canada

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

    Osmar R. Zaiane, Jiawei Han

    PDF
  • Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning

    Philip K. Chan and Salvatore J. Stolfo, Columbia University

    PDF
  • Intelligent Instruments: Discovering How to Turn Spectral Data into Information

    Wray L. Buntine and Tarang Patel, NASA Ames Research Center

    PDF
  • Decision Tree Induction: How Effective is the Greedy Heuristic?

    Sreerama K. Murthy and Steven Salzberg, Johns Hopkins University

    PDF
  • Knowledge Discovery in Textual Databases (KDT)

    Ronen Feldman, Ido Dagan

    PDF
  • Knowledge Discovery in Telecommunication Services Data Using Bayesian Network Models

    Kazuo J. Ezawa, Steve W. Norton

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

    Paul Anderson, Ray Smith, Zhongwei Zhang

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  • Conceptual Clustering in Structured Databases: A Practical Approach

    A. Ketterlin, P. Gançarski, and J. J. Korczak, LSIIT, Université Louis Pasteur, France

    PDF
  • Using Rough Sets as Tools for Knowledge Discovery

    Ning Shan, Wojciech Ziarko, Howard J. Hamilton, and Nick Cercone, University of Regina, Canada

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  • Discovering Enrollment Knowledge in University Databases

    Arun P. Sanjeev and Jan M. Zytkow, Wichita State University

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  • Discovery and Maintenance of Functional Dependencies by Independencies

    Siegfried Bell

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  • Are We Losing Accuracy While Gaining Confidence in Induced Rules – An Assessment of PrIL

    F. Özden Gür Ali, GE Corporate Research and Development and William A. Wallace, Rensselaer Polytechnic Institute

    PDF
  • Knowledge Discovery from Multiple Databases

    James S. Ribeiro, Kenneth A. Kaufman, and Larry Kerschberg, George Mason University

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

    Clark Glymour

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  • Anonymization Techniques for Knowledge Discovery in Databases

    Willi Klosgen

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  • A Database Interface for Clustering in Large Spatial Databases

    Martin Ester, Hans-Peter Kriegel, and Xiaowei Xu, University of Munich, Germany

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  • Compression-Based Evaluation of Partial Determinations

    Bernhard Pfahringer, Stefan Kramer

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  • Applying a Data Miner To Heterogeneous Schema Integration

    Son Dao and Brad Perry, Hughes Research Laboratories

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  • Structured and Unstructured Induction with EDAGs

    Brian R. Gaines

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  • Active Data Mining

    Rakesh Agrawal, Giuseppe Psaila

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  • Exploiting Visualization in Knowledge Discovery

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

    PDF
  • Robust Decision Trees: Removing Outliers from Databases

    George H. John, Stanford University

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

    Antonio Ciampi and Yves Lechevallier

    PDF
  • Learning Bayesian Networks with Discrete Variables from Data

    Peter Spirtes and Christopher Meek, Carnegie Mellon University

    PDF
  • Exploiting Upper Approximation in the Rough Set Methodology

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

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  • Restructuring Databases for Knowledge Discovery by Consolidation and Link Formation

    Henry G. Goldberg and Ted E. Senator, U.S. Department of the Treasury - Financial Crimes Enforcement Network (FinCEN)

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  • Using Recon for Data Cleaning

    Evangelos Simoudis, Brian Livezey, Randy Kerber

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  • Analyzing the Benefits of Domain Knowledge in Substructure Discovery

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

    PDF
  • Discovering Frequent Episodes in Sequences

    Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo, University of Helsinki, Finland

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

    Ron Kohavi and Dan Sommerfield, Stanford University

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  • Efficient Algorithms for Attribute-Oriented Induction

    Hoi-Yee Hwang and Wai-Chee Fu, Chinese University of Hong Kong

    PDF
  • Knowledge-Based Scientific Discovery in Geological Databases

    Cen Li, Gautam Biswas

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  • Extracting Support Data for a Given Task

    Bernhard Scholkopf, Chris Burges, Vladimir Vapnik

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  • Accelerated Quantification of Bayesian Networks with Incomplete Data

    Bo Thiesson, Aalborg University, Denmark

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

    Shusaku Tsumoto, Hiroshi Tanaka

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  • Preface

    Usama Fayyad and Ramasamy Uthurusamy

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  • Feature Extraction for Massive Data Mining

    V. Seshadri and Raguram Sasisekharan, AT&T Bell Laboratories; Sholom M. Weiss, Rutgers University

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  • Fast Spatio-Temporal Data Mining of Large Geophysical Datasets

    Paul Stolorz, H. Nakamura, E. Mesrobian, R. R. Muntz, E. C. Shek, J. R. Santos, J. Yi, K. Ng, S.-Y. Chien, C. R. Mechoso

    PDF
  • Estimating the Robustness of Discovered Knowledge

    Chun-Nan Hsu and Craig A. Knoblock, University of Southern California

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

    Michael J. Pazzani

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  • Toward a Multi-Strategy and Cooperative Discovery System

    Ning Zhong, Setsuo Ohsuga

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  • On Subjective Measures of Interestingness in Knowledge Discovery

    Avi Silberschatz, Alexander Tuzhilin

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

    Andrzej Skowron, Warsaw University and Zbigniew Suraj, Pedagogical University, Poland

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  • A Perspective on Databases and Data Mining

    Marcel Holsheimer and Martin Kersten, CWI Database Research Group, The Netherlands; Heikki Mannila and Hannu Toivonen, University of Helsinki, Finland

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  • MDL-Based Decision Tree Pruning

    Manish Mehta, Jorma Rissanen, and Rakesh Agrawal, IBM Almaden Research Center

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  • Learning First Order Logic Rules with a Genetic Algorithm

    S. Augier, G. Venturini, and Y. Kodratoff, Université de Paris-Sud, France

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

    A. J. Feelders and A. J. F. le Loux, University of Twente; J. W. van’t Zand, ABN AMRO Bank, The Netherlands

    PDF
  • Limits on Learning Machine Accuracy Imposed by Data Quality

    Corinna Cortes, L. D. Jackel, and Wan-Ping Chiang, AT&T Bell Laboratories

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

    Corinna Cortes, Harris Drucker, Dennis Hoover, and Vladimir Vapnik, AT&T Bell Laboratories

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  • Discriminant Adaptive Nearest Neighbor Classification

    Trevor Hastie, Stanford University and Robert Tibshirani, University of Toronto

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  • Data Surveying: Foundations of an Inductive Query Language

    Arno Siebes, CWI, Database Research Group, The Netherlands

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

    Shusaku Tsumoto, Hiroshi Tanaka

    PDF

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