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» A survey of Knowledge Discovery and Data Mining process mode...
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KDD
1995
ACM
193views Data Mining» more  KDD 1995»
15 years 1 months ago
Analyzing the Benefits of Domain Knowledge in Substructure Discovery
Discovering repetitive, interesting, and functional substructures in a structural database improves the ability to interpret and compress the data. However, scientists working wit...
Surnjani Djoko, Diane J. Cook, Lawrence B. Holder
KIC
2000
14 years 11 months ago
Knowledge Discovery and Data Mining within a Design Environment
Designers, in the process of satisfying design requirements, generally encounter difficulties in, firstly, understanding the problem and secondly, finding a solution [Cross 1998]....
Mark K. D. Haffey, Alex H. B. Duffy
EDM
2009
184views Data Mining» more  EDM 2009»
14 years 7 months ago
Process Mining Online Assessment Data
Traditional data mining techniques have been extensively applied to find interesting patterns, build descriptive and predictive models from large volumes of data accumulated throug...
Mykola Pechenizkiy, Nikola Trcka, Ekaterina Vasily...
GI
1998
Springer
15 years 1 months ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
DKE
2006
84views more  DKE 2006»
14 years 9 months ago
Mining configurable enterprise information systems
Process mining is the extraction of a process model from system logs. These logs have to meet minimum requirements, i.e. each event should refer to a case and a task. Many system ...
Monique H. Jansen-Vullers, Wil M. P. van der Aalst...