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CAISE
2010
Springer
15 years 3 months ago
Beyond Process Mining: From the Past to Present and Future
Abstract. Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes ...
Wil M. P. van der Aalst, Maja Pesic, Minseok Song
121
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CMG
2001
15 years 4 months ago
Effective Use of the KDD Process and Data Mining for Computer Performance Professionals
- The KDD (Knowledge Discovery in Databases) paradigm is a step by step process for finding interesting patterns in large amounts of data. Data mining is one step in the process. T...
Susan P. Imberman
EDM
2009
184views Data Mining» more  EDM 2009»
15 years 12 days 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...
140
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ISASSCI
2001
15 years 4 months ago
Data Mining Architectures - A Comparative Study
Data mining is the process of deriving knowledge from data. The architecture of a data mining system plays a significant role in the efficiency with which data is mined. It is pro...
Thomas Thomas, Sanjeev Jayakumar, B. Muthukumaran
129
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JUCS
2007
107views more  JUCS 2007»
15 years 2 months ago
Genetic Algorithm Based Recurrent Fuzzy Neural Network Modeling of Chemical Processes
: A genetic algorithm (GA) based recurrent fuzzy neural network modeling method for dynamic nonlinear chemical process is presented. The dynamic recurrent fuzzy neural network (RFN...
Jili Tao, Ning Wang, Xuejun Wang