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» A survey of Knowledge Discovery and Data Mining process mode...
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BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 4 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
PKDD
2010
Springer
193views Data Mining» more  PKDD 2010»
14 years 8 months ago
Process Mining Meets Abstract Interpretation
Mining Meets Abstract Interpretation J. Carmona and J. Cortadella Universitat Polit`ecnica de Catalunya, Spain The discovery of process models out of system traces is a problem tha...
Josep Carmona, Jordi Cortadella
SDM
2009
SIAM
127views Data Mining» more  SDM 2009»
15 years 6 months ago
Event Discovery in Time Series.
The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient’s electrocardiog...
Carla E. Brodley, Dan Preston, Pavlos Protopapas
SOFT
2000
15 years 1 months ago
Problems and Prospects in Fuzzy Data Analysis
In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new research...
Rudolf Kruse, Christian Borgelt, Detlef Nauck
72
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COMPSAC
1998
IEEE
15 years 1 months ago
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Mark T. Maybury