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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 9 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
CII
2008
100views more  CII 2008»
13 years 8 months ago
Knowledge formalization in experience feedback processes: An ontology-based approach
Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understa...
Bernard Kamsu Foguem, Thierry Coudert, C. Bé...
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 8 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
DEBU
2008
104views more  DEBU 2008»
13 years 8 months ago
Process Mining in Web Services: The WebSphere Case
Process mining has emerged as a way to discover or check the conformance of processes based on event logs. This enables organizations to learn from processes as they really take p...
Wil M. P. van der Aalst, H. M. W. (Eric) Verbeek
INFORMATICALT
2008
196views more  INFORMATICALT 2008»
13 years 8 months ago
An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams
Abstract. Data stream mining has become a novel research topic of growing interest in knowledge discovery. Most proposed algorithms for data stream mining assume that each data blo...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang