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

Book One

All Contents

  • Knowledge Discovery and Data Mining: Towards a Unifying Framework

    Usama Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth

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  • Performing Effective Feature Selection by Investigating the Deep Structure of the Data

    Marco Richeldi, Pier Luca Lanzi

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  • An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications

    Gregory Piatetsky-Shapiro, Ron Brachman, Tom Khabaza, Willi Kloesgen, Evangelos Simoudis

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  • Data Mining with Sparse and Simplified Interaction Selection

    Gerald Fahner

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  • Extraction of Spatial Proximity Patterns by Concept Generalization

    Edwin M. Knorr, Raymond T. Ng

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  • A Comparison of Approaches for Maximizing Business Payoff of Prediction Models

    Brij Masand, Gregory Piatetsky-Shapiro

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  • Using a Hybrid Neural/Expert System for Data Base Mining in Market Survey Data

    Victor Ciesielski, Gregory Palstra

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  • Developing Tightly-Coupled Data Mining Applications on a Relational Database System

    Rakesh Agrawal, Kyuseok Shim

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  • Scalable Exploratory Data Mining of Distributed Geoscientific Data

    Eddie C. Shek, Richard R. Muntz, Edmond Mesrobian, Kenneth Ng

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  • Data Mining and Tree-Based Optimization

    Robert Grossman, Haim Bodek, Dave Northcutt, Vince Poor

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  • An Empirical Test of the Weighted Effect Approach to Generalized Prediction Using Recursive Neural Nets

    Rense Lange

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  • Exploiting Background Knowledge in Automated Discovery

    John M. Aronis, Foster J. Provost, Bruce G. Buchanan

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  • Imputation of Missing Data Using Machine Learning Techniques

    Kamakshi Lakshminarayan, Steven A. Harp, Robert Goldman, and Tariq Samad, Honeywell Technology Center

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  • Efficient Specific-to-General Rule Induction

    Pedro Domingos

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  • Harnessing the Human in Knowledge Discovery

    Georges G. Grinstein

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  • Reverse Engineering Databases for Knowledge Discovery

    Stephen Mc Kearney, Huw Roberts

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  • Clustering Using Monte Carlo Cross-Validation

    Padhraic Smyth

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  • Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space

    Paul Stolorz, Christopher Dean

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  • Efficient Search for Strong Partial Determinations

    Stefan Kramer, Bernhard Pfahringer

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  • Discovery of Relevant New Features by Generating Non-Linear Decision Trees

    Andreas Ittner, Michael Schlosser

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  • Deriving Queries from Results Using Genetic Programming

    Tae-Wan Ryu, Christoph F. Eick

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  • Pattern Discovery in Temporal Databases: A Temporal Logic Approach

    Balaji Padmanabhan, Alexander Tuzhilin

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  • The Quest Data Mining System

    Rakesh Agrawal, Manish Mehta, John Shafer, Ramakrishnan Srikant, Andreas Arning, Toni Bollinger

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  • Parallel Halo Finding in N-body Cosmology Simulations

    David W. Pfitzner, John K. Salmon

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  • Harnessing Graphical Structure in Markov Chain Monte Carlo Learning

    Paul E. Stolorz, Philip C. Chew

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  • Rethinking the Learning of Belief Network Probabilities

    Ron Musick

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  • Knowledge Discovery in RNA Sequence Families of HIV Using Scalable Computers

    Ivo L. Hofacker, Martijn A. Huynen, Peter F. Stadler, Paul E. Stolorz

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  • Interactive Knowledge Discovery from Marketing Questionnaire Using Simulated Breeding and Inductive Learning Methods

    Takao Terano, Yoko Ishino

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  • Learning from Biased Data Using Mixture Models

    A. J. Feelders

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  • DBMiner: A System for Mining Knowledge in Large Relational Databases

    Jiawei Han, Yongjian Fu, Wei Wang, Jenny Chiang, Wan Gong, Krzystof Koperski, Deyi Li, Yijun Lu, Amynmohamed Rajan, Nebojsa Stefanovic

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  • Linear-Time Rule Induction

    Pedro Domingos

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  • Local Induction of Decision Trees: Towards Interactive Data Mining

    Truxton Fulton, Simon Kasif, Steven Salzberg, David Waltz

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  • Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid

    Ron Kohavi

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  • Induction of Condensed Determinations

    Pat Langley

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  • Discovering Generalized Episodes Using Minimal Occurrences

    Heikki Mannila, Hannu Toivonen

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  • Error-Based and Entropy-Based Discretization of Continuous Features

    Ron Kohavi, Mehran Sahami

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  • Representing Discovered Patterns Using Attributed Hypergraph

    Yang Wang, Andrew K. C. Wong

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  • Extensibility in Data Mining Systems

    Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde

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  • The Field Matching Problem: Algorithms and Applications

    Alvaro E. Monge, Charles P. Elkan

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  • Exceptional Knowledge Discovery in Databases Based on Information Theory

    Einoshin Suzuki, Masamichi Shimura

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  • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise

    Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu

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  • DataMine: Application Programming Interface and Query Language for Database Mining

    Tomasz Imielinski, Aashu Virmani, Amin Abdulghani

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  • Automated Discovery of Medical Expert System Rules from Clinical Databases Based on Rough Sets

    Shusaku Tsumoto, Hiroshi Tanaka

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  • Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules

    David W. Cheung, Vincent T. Ng, Benjamin W. Tam

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  • Predictive Data Mining with Finite Mixtures

    Petri Kontkanen, Petri Myllymäki, Henry Tirri

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  • Planning Tasks for Knowledge Discovery in Databases; Performing Task-Oriented User-Guidance

    Robert Engels

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  • Discovering Classification Knowledge in Databases Using Rough Sets

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

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  • Combining Data Mining and Machine Learning for Effective User Profiling

    Tom Fawcett, Foster Provost

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  • SE-Trees Outperform Decision Trees in Noisy Domains

    Ron Rymon

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  • Mining Knowledge in Noisy Audio Data

    Andrzej Czyzewski

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  • Data Mining and Model Simplicity: A Case Study in Diagnosis

    Gregory M. Provan, Rockwell Science Center and Moninder Singh, University of Pennsylvania

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  • Sharing Learned Models among Remote Database Partitions by Local Meta-Learning

    Philip K. Chan, Salvatore J. Stolfo

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  • A Genetic Algorithm-Based Approach to Data Mining

    Ian W. Flockhart, Nicholas J. Radcliffe

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  • A Linear Method for Deviation Detection in Large Databases

    Andreas Arning, Rakesh Agrawal, Prabhakar Raghavan

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  • Undiscovered Public Knowledge: A Ten-Year Update

    Don R. Swanson, Neil R. Smalheiser

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  • Growing Simpler Decision Trees to Facilitate Knowledge Discovery

    Kevin J. Cherkauer, Jude W. Shavlik

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  • Automated Pattern Mining with a Scale Dimension

    Jan M. Zytkow, Jan M. Zytkow

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  • Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration

    Krista Lagus, Timo Honkela, Samuel Kaski, Teuvo Kohonen

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  • Evaluating the Interestingness of Characteristic Rules

    Micheline Kamber, Rajjan Shinghal

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  • Detecting Early Indicator Cars in an Automotive Database: A Multi-Strategy Approach

    Ruediger Wirth, Thomas P. Reinartz

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  • Static Versus Dynamic Sampling for Data Mining

    George H. John, Pat Langley

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  • Preface

    Evangelos Simoudis, Jiawei Han, Usama Fayyad

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  • Multiple Uses of Frequent Sets and Condensed Representations: Extended Abstract

    Heikki Mannila, Hannu Toivonen

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  • A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Multistrategy Knowledge Discovery System

    Kenneth A. Kaufman, Ryszard S. Michalski

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  • Discovering Knowledge in Commercial Databases Using Modern Heuristic Techniques

    B. de la Iglesia, J. C. W. Debuse, V. J. Rayward-Smth

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  • RITIO – Rule Induction Two In One

    David Urpani, Xindong Wu, Jim Sykes

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  • Automated Discovery of Active Motifs in Multiple RNA Secondary Structures

    Jason T. L. Wang, Bruce A. Shapiro, Dennis Shasha, Kaizhong Zhang, Chia-Yo Chang

    PDF
  • Inferring Hierarchical Clustering Structures by Deterministic Annealing

    Thomas Hofmann, Joachim M. Buhmann

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  • Analysing Binary Associations

    Arno J. Knobbe, Pieter W. Adriaans

    PDF
  • Mining Entity-Identification Rules for Database Integration

    M. Ganesh, Jaideep Srivastava, Travis Richardson

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  • Metapattern Generation for Integrated Data Mining

    Wei-Min Shen, Bing Leng

    PDF
  • Mining Associations in Text in the Presence of Background Knowledge

    Ronen Feldman, Haym Hirsh

    PDF
  • KDD for Science Data Analysis: Issues and Examples

    Usama Fayyad, David Haussler, Paul Stolorz

    PDF
  • Efficient Implementation of Data Cubes Via Materialized Views

    Jeffrey D. Ullman

    PDF
  • Learning Limited Dependence Bayesian Classifiers

    Mehran Sahami

    PDF

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