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» Distributed Data Mining Models as Services on the Grid
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PAKDD
2005
ACM
128views Data Mining» more  PAKDD 2005»
15 years 12 months ago
A Framework for Incorporating Class Priors into Discriminative Classification
Abstract. Discriminative and generative methods provide two distinct approaches to machine learning classification. One advantage of generative approaches is that they naturally mo...
Rong Jin, Yi Liu
ESCIENCE
2006
IEEE
16 years 13 days ago
A Middleware Framework for Maximum Likelihood Evaluation over Dynamic Grids
We have designed a maximum likelihood fitter using the actor model to distribute the computation over a heterogeneous network. The prototype implementation uses the SALSA program...
Wei-Jen Wang, Kaoutar El Maghraoui, John Cummings,...
ICDCSW
2005
IEEE
16 years 6 hour ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
DBPL
2003
Springer
109views Database» more  DBPL 2003»
15 years 11 months ago
Modelling Dynamic Web Data
We introduce the Xdπ calculus, a peer-to-peer model for reasoning about dynamic web data. Web data is not just stored statically. Rather it is referenced indirectly, for example ...
Philippa Gardner, Sergio Maffeis
PDPTA
2000
15 years 7 months ago
An Economy Driven Resource Management Architecture for Global Computational Power Grids
The growing computational power requirements of grand challenge applications has promoted the need for linking highperformance computational resources distributed across multiple ...
Rajkumar Buyya, David Abramson, Jonathan Giddy