Knowledge Discovery in Databases
Foundational Issues and Core Problems
Statistical and Probabilistic Models
Toward the Integration of Exploration and Modeling in a Planning Framework
PDFOn the Role of Statistical Significance in Exploratory Data Analysis
PDFTwo Algorithms for Inducing Causal Models from Data
PDFLearning Bayesian Networks: The Combination of Knowledge and Statistical Data
PDFHomogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases
PDFKnowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth
PDFSelection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods
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Concept Discovery
Abstraction of High Level Concepts from Numerical Values in Databases
PDFDiscovering Informative Patterns and Data Cleaning
PDFDynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases
PDFSubstucture Discovery in the SUBDUE System
PDFEfficient Algorithms for Discovering Association Rules
PDFFrom Law-Like Knowledge to Concept Hierarchies in Data
PDFThe Discovery of Logical Propositions in Numerical Data
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Integrated and Interactive Systems
Architectural Support for Data Mining
PDFFrom Facts to Rules to Decisions: An Overview of the FRD-1 System
PDFPolyAnalyst-A Machine Discovery System Inferring Functional Programs
PDFExploration of Simulation Experiments by Discovery
PDFApplications of a Logical Discovery Engine
PDFDICE: a Discovery Environment Integrating Inductive Bias
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Database-Specific Techniques
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization
PDFExtracting Domain Semantics for Knowledge Discovery in Relational Databases
PDFRule Induction for Semantic Query Optimization
PDFLearning Data Trend Regularities From Databases in a Dynamic Environment
PDFUsing Metagueries to Integrate Inductive Learning and Deductive Database Technology
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Methodology and Application Issues
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning
PDFUsing Dynamic Time Warping to Find Patterns in Time Series
PDFA Comparison of Pruning Methods for Relational Concept Learning
PDFA Case-Based Approach to Knowledge Navigation
PDFGeometric Comparison of Clarifications and Rule Sets
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Applications
Predicting Equity Returns from Securities Data with Minimal Rule Generation
PDFApplication of the TETRAD II Program to the Study of Student Retention in U.S. Colleges
PDFComparing International Development Patterns Using Multi-Operator Learning and Discovery Tools
PDFAn Application of KEFM to the Analysis of Healthcare Information
PDFProactive Network Maintenance Using Machine Learning
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