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GECCO
2000
Springer
14 years 17 days ago
Modeling GA Performance for Control Parameter Optimization
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
Vincent A. Cicirello, Stephen F. Smith
ACSD
2007
IEEE
116views Hardware» more  ACSD 2007»
14 years 3 months ago
Finding Structure in Unstructured Processes: The Case for Process Mining
Today there are many process mining techniques that allow for the automatic construction of process models based on event logs. Unlike synthesis techniques (e.g., based on regions...
Wil M. P. van der Aalst, Christian W. Günther
CAISE
2006
Springer
13 years 11 months ago
Incremental Workflow Mining for Process Flexibility
Abstract. Incremental workflow mining is a technique for automatically deriving a process model from the on-going executions of a process. This way, the process model becomes more ...
Ekkart Kindler, Vladimir Rubin, Wilhelm Schäf...
IADIS
2008
13 years 10 months ago
Ontology In Association Rules Pre-Processing And Post-Processing
Data mining has emerged to address the problem of transforming data into useful knowledge. Although most data mining techniques, such as Association Rules, substantially reduce th...
Inhaúma Neves Ferraz, Ana Cristina Bicharra...
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
14 years 1 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu