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Home / Proceedings / AAAI Workshop Papers 1993 /

Knowledge Discovery in Databases

Frontmatter

  • Foreword

    Gregory Piatetsky-Shapiro

    1

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Real-World Applications

  • Automated Analysis of a Large-Scale Sky Survey: The SKICAT System

    1

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  • Image Database Exploration: Progress and Challenges

    Usama M. Fayyad, Pahraic Smyth

    14

    PDF
  • Selecting Among Rules Induced from a Hurricane Database

    John A. Major, John J. Mangano

    28

    PDF
  • Opportunity Explorer: Navigating Large Databases Using Knowledge Discovery Templates

    Tej Anand, Gary Kahn

    45

    PDF
  • Preliminary Investigations into Knowledge Discovery for Quick Market Intelligence

    William P. Alexander, Piero P. Bonissone, and Lisa F. Rau

    52

    PDF
  • Attribute Focusing: Machine-assisted Knowledge Discovery Applied to Software Production Process Control

    Inderpal Bhandari

    61

    PDF
  • Discovery of the Causes of Scurvy: Could Artificial Intelligence Have Saved a Few Centuries?

    Vincent Corruble, Jean-Gabriel Ganascia

    70

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  • Fault Isolation during Semiconductor Manufacturing Using Automated Discovery from Wafer Tracking Databases

    Sharad Saxena

    81

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  • An Application of Datalogic/R Knowledge Discovery Tool to Identify Strong Predictive Rules in Stock Market Data

    Wojciech Ziarko, Robert Golan, Donald Edwards

    89

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Discovery of Dependencies and Models

  • Testing the Existence of Functional Relationship in Data

    102

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  • A Bayesian Method for Learning Probabilistic Networks that Contain Hidden Variables

    Gregory F. Cooper

    112

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  • Discovering Dynamics: From Inductive Logic Programming To Machine Discovery

    Saso Dzeroski, Ljupco Todorovski

    125

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  • Inferring Approximate Functional Dependencies from Example Data

    Tatsuya Akutsu

    138

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  • Automating Path Analysis for Building Causal Models from Data: First Results and Open Problems

    Paul Cohen, Lisa Ballesteros, Adam Carlson, and Robert St. Amant

    153

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  • Measuring Data Dependencies in Large Databases

    Gregory Piatetsky-Shapiro, Christopher J. Matheus

    162

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  • Bottom-up Induction of Functional Dependencies from Relations

    Iztok Savnik, Peter A. Flach

    174

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  • Using Learned Dependencies to Automatically Construct Sufficient and Sensible Editing Views

    Jeffrey Schlimmer

    186

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  • Integrated Support for Data Archaelogy

    Ronald J. Brachman, Peter G. Selfridge, Loren G. Terveen, Boris Altman, Fern Halper, Thomas Kirk, Alan Lazar, Deborah L. McGuiness, Lori Alperin Resnick

    197

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  • Some Implementation Aspects of a Discovery System

    Willi Klosgen

    212

    PDF
  • Toward Parallel and Distributed Learning by Meta-Learning

    Philip K. Chan, Salvatore J. Stolfo

    227

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  • Intelligent Mediation in Active Knowledge Mining: Goals and General Description

    Patricia Lynch Carbone, Larry Kershberg

    241

    PDF
  • Knowledge Discovery Using Genetic Programming with Rough Set Evaluation

    David H. Foster, W. James Bishop, Scott A. King, Jack Park

    254

    PDF
  • Discovering Attribute Dependence in Databases by Integrating Symbolic Learning and Statistical Techniques

    L F. Imam, R. S. Michalski, and L. Kershberg

    264

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Database-Specific Techniques

  • Learning Database Abstractions for Query Reformulation

    Chun-Nan Hsu, Craig A. Knoblock

    276

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  • Pattern-Based Clustering for Database Attribute Values

    Matthew Merzbaehter, Wesley W. Chu

    291

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  • Knowledge Discovery in Object-oriented Databases: The First Step

    Shojiro Nishio, Hiroyuki Kawano, Jiawei Han

    299

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Discovery in Textual Documents

  • Forming Grammars for Structured Documents

    Helena Ahonen, Heikki Mannila, and Erja Nikunen

    314

    PDF
  • Knowledge Discovery for Document Classification

    Chidanand Apte, Fred Damerau, and Sholom Weiss

    326

    PDF

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