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KDD
2003
ACM
149views Data Mining» more  KDD 2003»
14 years 5 months ago
Knowledge-based data mining
We describe techniques for combining two types of knowledge systems: expert and machine learning. Both the expert system and the learning system represent information by logical d...
Søren Damgaard, Sholom M. Weiss, Shubir Kap...
AAAI
1994
13 years 6 months ago
Small is Beautiful: A Brute-Force Approach to Learning First-Order Formulas
We describe a method for learning formulas in firstorder logic using a brute-force, smallest-first search. The method is exceedingly simple. It generates all irreducible well-form...
Steven Minton, Ian Underwood
ECML
2005
Springer
13 years 11 months ago
Mode Directed Path Finding
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
Irene M. Ong, Inês de Castro Dutra, David Pa...
CLUSTER
2005
IEEE
13 years 11 months ago
A pipelined data-parallel algorithm for ILP
The amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly...
Nuno A. Fonseca, Fernando M. A. Silva, Víto...
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 9 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok