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RAID
1999
Springer
13 years 12 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
ECOWS
2009
Springer
13 years 11 months ago
An Analysis of Windows Workflow's Control-Flow Expressiveness
The Windows Workflow Foundation (WF) has been introduced as part of the .NET framework as a means of creating workflow-centric applications. Its intended field of application is br...
Marco Zapletal, Wil M. P. van der Aalst, Nick Russ...
CLEANDB
2006
ACM
142views Database» more  CLEANDB 2006»
13 years 9 months ago
QUEST: QUery-driven Exploration of Semistructured Data with ConflicTs and Partial Knowledge
An important reality when integrating scientific data is the fact that data may often be "missing", partially specified, or conflicting. Therefore, in this paper, we pre...
Yan Qi 0002, K. Selçuk Candan, Maria Luisa ...
ESANN
2007
13 years 9 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
IADIS
2003
13 years 9 months ago
A Facial Expression Analysis Component for Affective Tutoring Systems
Intelligent tutoring systems (ITS) provide individualised instruction. They offer many advantages over the traditional classroom scenario: they are always available, non-judgement...
Scott P. Overmyer, Hamid Gholam Hosseini, Chao Fan...
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