SIGKDD(KDD) 1994 论文列表Knowledge Discovery in Databases: Papers from the 1994 AAAI Workshop, Seattle, Washington, USA, July 1994. Technical Report WS-94-03. |
Machine Discovery Terminology.
Proactive Network Maintenance Using Machine Learning.
An Application of KEFM to the Analysis of Healthcare Information.
Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools.
Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges.
Predicting Equity Returns from Securities Data with Minimal Rule Generation.
Geometric Comparison of Clarifications and Rule Sets.
A Case-Based Approach to Knowledge Navigation.
A Comparison of Pruning Methods for Relational Concept Learning.
Using Dynamic Time Warping to Find Patterns in Time Series.
Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning.
Using Metagueries to Integrate Inductive Learning and Deductive Database Technology.
Learning Data Trend Regularities From Databases in a Dynamic Environment.
Rule Induction for Semantic Query Optimization.
Extracting Domain Semantics for Knowledge Discovery in Relational Databases.
Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization.
DICE: A Discovery Environment Integrating Inductive Bias.
Applications of a Logical Discovery Engine.
Exploration of Simulation Experiments by Discovery.
PolyAnalyst - A Machine Discovery System Inferring Functional Programs.
From Facts to Rules to Decisions: An Overview of the FRD-1 System.
Architectural Support for Data Mining.
The Discovery of Logical Propositions in Numerical Data.
From Law-Like Knowledge to Concept Hierarchies in Data.
Efficient Algorithms for Discovering Association Rules.
Substucture Discovery in the SUBDUE System.
Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases.
Discovering Informative Patterns and Data Cleaning.
Abstraction of High Level Concepts from Numerical Values in Databases.
Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods.
Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth.
Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases.
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data.
Two Algorithms for Inducing Causal Models from Data.
On the Role of Statistical Significance in Exploratory Data Analysis.
Toward the Integration of Exploration and Modeling in a Planning Framework.
Integrating Inductive and Deductive Reasoning for Database Mining.
The Interingness of Deviations.
Exception Dags as Knowledge Structures.
The Process of Knowledge Discovery in Databases: A First Sketch.