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» A genetic programming approach to business process mining
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CEC
2008
IEEE
14 years 2 months ago
Distributed multi-relational data mining based on genetic algorithm
—An efficient algorithm for mining important association rule from multi-relational database using distributed mining ideas. Most existing data mining approaches look for rules i...
Wenxiang Dou, Jinglu Hu, Kotaro Hirasawa, Gengfeng...
DBKDA
2010
IEEE
144views Database» more  DBKDA 2010»
13 years 6 months ago
Analysis of the Quality of Life after an Endoscopic Thoracic Sympathectomy: A Business Intelligence Approach
— Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients impro...
Diana Goncalves, Maribel Yasmina Santos, Jorge Cru...
FIT
2010
13 years 2 months ago
Building AS-IS process models from task descriptions
Business processes have to adopt the changes driven by the market to remain competitive. This requires improvement of business processes, which can be carried out by understanding...
Azeem Lodhi, Gamal Kassem, Veit Köppen, Gunte...
CAISE
2009
Springer
14 years 2 months ago
Pattern Mining in System Logs: Opportunities for Process Improvement
Enterprise systems implementations are often accompanied by changes in the business processes of the organizations in which they take place. However, not all the changes are desira...
Dolev Mezebovsky, Pnina Soffer, Ilan Shimshoni
BPM
2009
Springer
168views Business» more  BPM 2009»
14 years 2 months ago
Divide-and-Conquer Strategies for Process Mining
The goal of Process Mining is to extract process models from logs of a system. Among the possible models to represent a process, Petri nets is an ideal candidate due to its graphic...
Josep Carmona, Jordi Cortadella, Michael Kishinevs...