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DKE
2006
84views more  DKE 2006»
15 years 6 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...
173
Voted
CGF
2000
127views more  CGF 2000»
15 years 6 months ago
Interactive High-Quality Maximum Intensity Projection
Maximum Intensity Projection (MIP) is a volume rendering technique which is used to visualize high-intensity structures within volumetric data. At each pixel the highest data valu...
Lukas Mroz, Helwig Hauser, Eduard Gröller
ICDM
2010
IEEE
122views Data Mining» more  ICDM 2010»
15 years 4 months ago
Interesting Subset Discovery and Its Application on Service Processes
Various real-life datasets can be viewed as a set of records consisting of attributes explaining the records and set of measures evaluating the records. In this paper, we address t...
Maitreya Natu, Girish Keshav Palshikar
DMIN
2009
119views Data Mining» more  DMIN 2009»
15 years 4 months ago
Abnormal Process State Detection by Cluster Center Point Monitoring in BWR Nuclear Power Plant
This paper proposes a new method to detect abnormal process state. The method is based on cluster center point monitoring in time and is demonstrated in its application to data fro...
Jaakko Talonen, Miki Sirola
BMCBI
2006
114views more  BMCBI 2006»
15 years 6 months ago
PROMPT: a protein mapping and comparison tool
Background: Comparison of large protein datasets has become a standard task in bioinformatics. Typically researchers wish to know whether one group of proteins is significantly en...
Thorsten Schmidt, Dmitrij Frishman
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