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» Distributed Data Mining Models as Services on the Grid
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ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
15 years 4 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
ICAC
2006
IEEE
16 years 14 days ago
Using Autonomic Principles to Manage Converged Services in Next Generation Networks
Network resources will always be heterogeneous, and thus have different functionalities and programming models. This adversely affects interoperability. Seamless Mobility is one e...
John Strassner
CIKM
2010
Springer
15 years 5 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
GIS
2004
ACM
16 years 7 months ago
A partial join approach for mining co-location patterns
Spatial co-location patterns represent the subsets of events whose instances are frequently located together in geographic space. We identified the computational bottleneck in the...
Jin Soung Yoo, Shashi Shekhar
DMIN
2009
222views Data Mining» more  DMIN 2009»
15 years 4 months ago
P-Sensitive K-Anonymity for Social Networks
-- The proliferation of social networks, where individuals share private information, has caused, in the last few years, a growth in the volume of sensitive data being stored in th...
Roy Ford, Traian Marius Truta, Alina Campan