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PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 7 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
15 years 8 months ago
Clustering Events on Streams Using Complex Context Information
Monitoring applications play an increasingly important role in many domains. They detect events in monitored systems and take actions such as invoke a program or notify an adminis...
YongChul Kwon, Wing Yee Lee, Magdalena Balazinska,...
ICDM
2006
IEEE
92views Data Mining» more  ICDM 2006»
15 years 8 months ago
Window-based Tensor Analysis on High-dimensional and Multi-aspect Streams
Data stream values are often associated with multiple aspects. For example, each value from environmental sensors may have an associated type (e.g., temperature, humidity, etc) as...
Jimeng Sun, Spiros Papadimitriou, Philip S. Yu
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
14 years 12 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
ICC
2007
IEEE
145views Communications» more  ICC 2007»
15 years 8 months ago
Predicting User-Perceived Quality Ratings from Streaming Media Data
Abstract—Media stream quality is highly dependent on underlying network conditions, but identifying scalable, unambiguous metrics to discern the user-perceived quality of a media...
Amy Csizmar Dalal, David R. Musicant, Jamie F. Ols...