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» Process Mining Based on Clustering: A Quest for Precision
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ICIP
2002
IEEE
16 years 1 months ago
Adaptive image segmentation based on color and texture
We propose an image segmentation algorithm that is based on spatially adaptive color and texture features. The features are first developed independently, and then combined to obt...
Junqing Chen, Thrasyvoulos N. Pappas, Aleksandra M...
MSR
2010
ACM
15 years 4 months ago
Predicting the severity of a reported bug
—The severity of a reported bug is a critical factor in deciding how soon it needs to be fixed. Unfortunately, while clear guidelines exist on how to assign the severity of a bu...
Ahmed Lamkanfi, Serge Demeyer, Emanuel Giger, Bart...
ISMIS
2009
Springer
15 years 6 months ago
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
IJCNN
2007
IEEE
15 years 6 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
JIIS
2006
147views more  JIIS 2006»
14 years 11 months ago
Mining sequential patterns from data streams: a centroid approach
In recent years, emerging applications introduced new constraints for data mining methods. These constraints are typical of a new kind of data: the data streams. In data stream pro...
Alice Marascu, Florent Masseglia