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JCST
2010
153views more  JCST 2010»
12 years 11 months ago
Model Failure and Context Switching Using Logic-Based Stochastic Models
Abstract We define a notion of context that represents invariant, stable-over-time behavior in an environment and we propose an algorithm for detecting context changes in a stream ...
Nikita A. Sakhanenko, George F. Luger
IKE
2004
13 years 6 months ago
A Knowledge-Based Framework for Deploying Surveillance Problem Solvers
Increased concern about bioterrorism and emerging diseases is driving the development of systems for early epidemic detection. These systems have different requirements than tradit...
David L. Buckeridge, Martin J. O'Connor, Haobo Xu,...
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
13 years 9 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
CHI
2009
ACM
14 years 5 months ago
Exploring video streams using slit-tear visualizations
Slit-tear visualizations allow users to selectively visualize pixel paths in a video scene. The slit-tear visualization technique is a generalization of the traditional photograph...
Anthony Tang, Saul Greenberg, Sidney Fels
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
14 years 5 months ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi