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» Learning First Order Logic Rules with a Genetic Algorithm
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ISCI
2008
124views more  ISCI 2008»
14 years 9 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
99
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BMCBI
2010
178views more  BMCBI 2010»
14 years 9 months ago
Applications of a formal approach to decipher discrete genetic networks
Background: A growing demand for tools to assist the building and analysis of biological networks exists in systems biology. We argue that the use of a formal approach is relevant...
Fabien Corblin, Eric Fanchon, Laurent Trilling
ACMICEC
2008
ACM
270views ECommerce» more  ACMICEC 2008»
14 years 11 months ago
Adaptive strategies for predicting bidding prices in supply chain management
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...
Yevgeniya Kovalchuk, Maria Fasli
TKDE
2010
149views more  TKDE 2010»
14 years 4 months ago
A Configurable Rete-OO Engine for Reasoning with Different Types of Imperfect Information
The RETE algorithm is a very efficient option for the development of a rule-based system, but it supports only boolean, first order logic. Many real-world contexts, instead, requir...
Davide Sottara, Paola Mello, Mark Proctor
CCS
2011
ACM
13 years 9 months ago
Policy auditing over incomplete logs: theory, implementation and applications
We present the design, implementation and evaluation of an algorithm that checks audit logs for compliance with privacy and security policies. The algorithm, which we name reduce,...
Deepak Garg, Limin Jia, Anupam Datta