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KDD
2009
ACM
227views Data Mining» more  KDD 2009»
14 years 8 months ago
Efficiently learning the accuracy of labeling sources for selective sampling
Many scalable data mining tasks rely on active learning to provide the most useful accurately labeled instances. However, what if there are multiple labeling sources (`oracles...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
KDD
2005
ACM
106views Data Mining» more  KDD 2005»
14 years 1 months ago
Enhancing the lift under budget constraints: an application in the mutual fund industry
A lift curve, with the true positive rate on the y-axis and the customer pull (or contact) rate on the x-axis, is often used to depict the model performance in many data mining ap...
Lian Yan, Michael Fassino, Patrick Baldasare
SIGCSE
2006
ACM
188views Education» more  SIGCSE 2006»
14 years 1 months ago
A data mining course for computer science: primary sources and implementations
An undergraduate elective course in data mining provides a strong opportunity for students to learn research skills, practice data structures, and enhance their understanding of a...
David R. Musicant
SE
2007
13 years 9 months ago
Building a process layer for business applications using the blackboard pattern
Abstract: Contemporary business applications often employ a process layer in order to coordinate automated activities. One option to build such a layer is to use a workflow manage...
Stefan Kleine Stegemann, Burkhardt Funk, Thomas Sl...
EUROPLOP
2006
13 years 9 months ago
Meta-Specification and Cataloging of Software Patterns with Domain Specific Languages and Adaptive Object Models
Writing patterns is a very important task for leveraging knowledge within an organization or in the software engineering community as a whole. Patterns are more than text, diagram...
León Welicki, Juan Manuel Cueva Lovelle, Lu...