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PKDD
1999
Springer
103views Data Mining» more  PKDD 1999»
15 years 2 months ago
An Evolutionary Algorithm Using Multivariate Discretization for Decision Rule Induction
Abstract. We describe EDRL-MD, an evolutionary algorithm-based system, for learning decision rules from databases. The main novelty of our approach lies in dealing with continuous ...
Wojciech Kwedlo, Marek Kretowski
SECURWARE
2008
IEEE
15 years 5 months ago
Polynomial Heuristic Algorithms for Inconsistency Characterization in Firewall Rule Sets
Firewalls provide the first line of defence of nearly all networked institutions today. However, Firewall ACLs could have inconsistencies, allowing traffic that should be denied o...
Sergio Pozo Hidalgo, Rafael Ceballos, Rafael M. Ga...
ICTAI
2002
IEEE
15 years 3 months ago
Updating a Hybrid Rule Base with New Empirical Source Knowledge
Neurules are a kind of hybrid rules that combine a symbolic (production rules) and a connectionist (adaline unit) representation. Each neurule is represented as an adaline unit. O...
Jim Prentzas, Ioannis Hatzilygeroudis, Athanasios ...
AAAI
2010
15 years 4 days ago
Compilation Complexity of Common Voting Rules
In computational social choice, one important problem is to take the votes of a subelectorate (subset of the voters), and summarize them using a small number of bits. This needs t...
Lirong Xia, Vincent Conitzer
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
15 years 3 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals