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EDBT
2004
ACM
234views Database» more  EDBT 2004»
14 years 9 months ago
A Condensation Approach to Privacy Preserving Data Mining
In recent years, privacy preserving data mining has become an important problem because of the large amount of personal data which is tracked by many business applications. In many...
Charu C. Aggarwal, Philip S. Yu
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 6 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
EUMAS
2006
13 years 10 months ago
A Customizable Multi-Agent System for Distributed Data Mining
We present a general Multi-Agent System framework for distributed data mining based on a Peer-toPeer model. The framework adopts message-based asynchronous communication and a dyn...
Giancarlo Fortino, Giuseppe Di Fatta
HPDC
2008
IEEE
14 years 3 months ago
Issues in applying data mining to grid job failure detection and diagnosis
As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
Lakshmikant Shrinivas, Jeffrey F. Naughton
ICDM
2008
IEEE
113views Data Mining» more  ICDM 2008»
14 years 3 months ago
Online Reliability Estimates for Individual Predictions in Data Streams
Several predictive systems are nowadays vital for operations and decision support. The quality of these systems is most of the time defined by their average accuracy which has lo...
Pedro Pereira Rodrigues, João Gama, Zoran B...