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GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
15 years 7 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen
DATAMINE
2010
122views more  DATAMINE 2010»
15 years 6 months ago
Three naive Bayes approaches for discrimination-free classification
In this paper, we investigate how to modify the Naive Bayes classifier in order to perform classification that is restricted to be independent with respect to a given sensitive att...
Toon Calders, Sicco Verwer
ESWA
2011
243views Database» more  ESWA 2011»
14 years 10 months ago
A novel case based reasoning approach to radiotherapy planning
Radiotherapy planning is a complex problem which requires both expertise and experience of an oncologist. A Case Based Reasoning (CBR) system is developed to generate dose plans f...
Sanja Petrovic, Nishikant Mishra, Santhanam Sundar
TMI
2002
143views more  TMI 2002»
15 years 6 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
CEAS
2007
Springer
15 years 10 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley