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ICML
2010
IEEE
13 years 5 months ago
Online Streaming Feature Selection
We study an interesting and challenging problem, online streaming feature selection, in which the size of the feature set is unknown, and not all features are available for learni...
Xindong Wu, Kui Yu, Hao Wang, Wei Ding
KDD
2006
ACM
155views Data Mining» more  KDD 2006»
14 years 5 months ago
Single-pass online learning: performance, voting schemes and online feature selection
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...
Vitor R. Carvalho, William W. Cohen
KDD
2012
ACM
178views Data Mining» more  KDD 2012»
11 years 7 months ago
Mining emerging patterns by streaming feature selection
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
Kui Yu, Wei Ding 0003, Dan A. Simovici, Xindong Wu
VLDB
2007
ACM
161views Database» more  VLDB 2007»
14 years 5 months ago
Proof-Infused Streams: Enabling Authentication of Sliding Window Queries On Streams
As computer systems are essential components of many critical commercial services, the need for secure online transactions is now becoming evident. The demand for such application...
Feifei Li, Ke Yi, Marios Hadjieleftheriou, George ...
ICDCSW
2002
IEEE
13 years 9 months ago
Real-Time Processing of Media Streams: A Case for Event-Based Interaction
There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extracti...
Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, O...