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KDD
2001
ACM
226views Data Mining» more  KDD 2001»
15 years 9 months ago
Image Mining: Issues, Frameworks and Techniques
Advances in image acquisition and storage technology have led to tremendous growth in significantly large and detailed image databases. These images, if analyzed, can reveal usefu...
Ji Zhang, Wynne Hsu, Mong-Li Lee
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
15 years 9 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
KDD
1998
ACM
164views Data Mining» more  KDD 1998»
15 years 9 months ago
A Data Mining Support Environment and its Application on Insurance Data
Huge masses of digital data about products, customers and competitors have become available for companies in the services sector. In order to exploit its inherent (and often hidde...
Martin Staudt, Jörg-Uwe Kietz, Ulrich Reimer
BPM
2006
Springer
118views Business» more  BPM 2006»
15 years 8 months ago
Faulty EPCs in the SAP Reference Model
Little is known about error probability in enterprise models as they are usually kept private. The SAP reference model is a publically available model that contains more than 600 n...
Jan Mendling, Michael Moser, Gustaf Neumann, H. M....
CVPR
2008
IEEE
16 years 6 months ago
A mixed generative-discriminative framework for pedestrian classification
This paper presents a novel approach to pedestrian classification which involves utilizing the synthesized virtual samples of a learned generative model to enhance the classificat...
Markus Enzweiler, Dariu M. Gavrila