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» Predicting mining activity with parallel genetic algorithms
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APN
2005
Springer
14 years 1 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
IJCNN
2006
IEEE
14 years 1 months ago
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
Abstract— Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compound...
Razvan Andonie, Levente Fabry-Asztalos, Sarah Abdu...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 12 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
IPPS
2006
IEEE
14 years 1 months ago
Workforce planning with parallel algorithms
Workforce planning is an important activity that enables organizations to determine the workforce needed for continued success. A workforce planning problem is a very complex task...
Enrique Alba, Gabriel Luque, Francisco Luna
APCHI
2004
IEEE
13 years 11 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley