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SIGIR
2006
ACM
15 years 10 months ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
IS
2007
15 years 4 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
INFSOF
2010
100views more  INFSOF 2010»
15 years 3 months ago
Investigating the impact of a measurement program on software quality
Context: Measurement programs have been around for several decades but have been often misused or misunderstood by managers and developers. This misunderstanding prevented their a...
Houari A. Sahraoui, Lionel C. Briand, Yann-Gaë...
DATAMINE
2006
117views more  DATAMINE 2006»
15 years 4 months ago
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
Effective information systems require the existence of explicit process models. A completely specified process design needs to be developed in order to enact a given business proce...
Laura Maruster, A. J. M. M. Weijters, Wil M. P. va...
EDOC
2009
IEEE
15 years 11 months ago
Using Enterprise Architecture Management Patterns to Complement TOGAF
—The design of an Enterprise Architecture (EA) management function for an enterprise is no easy task. Various frameworks exist as well as EA management tools, which promise to de...
Sabine Buckl, Alexander M. Ernst, Florian Matthes,...
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