Machine learning: applications in expert systems and information retrieval
Machine learning: applications in expert systems and information retrieval
Methodologies from machine learning in data analysis and software
The Computer Journal - Special issue on distributed systems
The right representation for discovery: finding the conservation of momentum
ML92 Proceedings of the ninth international workshop on Machine learning
The first phase of real-world discovery: determining repeatability and error of experiments
ML92 Proceedings of the ninth international workshop on Machine learning
Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning
Machine Learning - Special issue on multistrategy learning
Learning decision trees from decision rules: a method and initial results from a comparative study
Journal of Intelligent Information Systems - Special issue on methodologies for intelligent systems
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
Machine Learning - Special issue on evaluating and changing representation
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
Machine Learning
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
ISMIS '96 Proceedings of the 9th International Symposium on Foundations of Intelligent Systems
Discovery of equations: experimental evaluation of convergence
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
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An enormous proliferation of computer technology in modern societies has produced a severe information overload. The navigation through the masses of available information in order to derive desired knowledge is becoming increasingly difficult. This creates a demand for intelligent systems capable of assisting data analysts in extracting goal-oriented knowledge from large volumes of data. This paper presents a multistrategy methodology and a system, INLEN, for knowledge discovery in large relational databases. The system integrates data base, knowledge base and machine learning technologies. It offers a data analyst an integrated interface and a wide range of knowledge generation operators, as described in the Inferential Theory of Learning. Presented ideas are illustrated by results from experiments with INLEN.