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PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
14 years 4 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
SDM
2010
SIAM
191views Data Mining» more  SDM 2010»
13 years 11 months ago
Active Ordering of Interactive Prediction Tasks
Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
Abhimanyu Lad, Yiming Yang
SDM
2010
SIAM
195views Data Mining» more  SDM 2010»
13 years 11 months ago
Adaptive Informative Sampling for Active Learning
Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Zhenyu Lu, Xindong Wu, Josh Bongard
AEI
2007
119views more  AEI 2007»
13 years 10 months ago
Exploring the CSCW spectrum using process mining
Process mining techniques allow for extracting information from event logs. For example, the audit trails of a workflow management system or the transaction logs of an enterprise ...
Wil M. P. van der Aalst
IEAAIE
2009
Springer
14 years 4 months ago
Using Genetic Process Mining Technology to Construct a Time-Interval Process Model
Nowadays, some process information is represented by a process model. To understand process executed in many activities, process mining technologies are now extensively studied to...
Chieh-Yuan Tsai, I-Ching Chen