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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 10 months ago
Incremental Subspace Clustering over Multiple Data Streams
Data streams are often locally correlated, with a subset of streams exhibiting coherent patterns over a subset of time points. Subspace clustering can discover clusters of objects...
Qi Zhang, Jinze Liu, Wei Wang 0010
PAKDD
2010
ACM
165views Data Mining» more  PAKDD 2010»
15 years 6 months ago
Classification and Novel Class Detection in Data Streams with Active Mining
We present ActMiner, which addresses four major challenges to data stream classification, namely, infinite length, concept-drift, conceptevolution, and limited labeled data. Most o...
Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei ...
IPPS
2007
IEEE
15 years 10 months ago
Securing Grid Data Transfer Services with Active Network Portals
Widely available and utilized Grid servers are vulnerable to a variety of threats from Denial of Service (DoS) attacks, overloading caused by flash crowds, and compromised client ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...
TASLP
2010
144views more  TASLP 2010»
14 years 11 months ago
Active Learning With Sampling by Uncertainty and Density for Data Annotations
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...
GRID
2005
Springer
15 years 10 months ago
Protecting grid data transfer services with active network interfaces
A key goal of grid computing is to provide seamless access to shared computational and data resources across organizational boundaries, in distributed virtual organizations. Grid ...
Onur Demir, Michael R. Head, Kanad Ghose, Madhusud...