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» Estimating Missing Data in Data Streams
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JNW
2008
150views more  JNW 2008»
13 years 9 months ago
Quality-Aware Cooperative Proxy Caching for Video Streaming Services
By applying a proxy mechanism widely used in WWW systems to video streaming systems, low-delay and high-quality video distribution can be accomplished without imposing extra load o...
Yoshiaki Taniguchi, Naoki Wakamiya, Masayuki Murat...
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 7 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
ICDM
2005
IEEE
128views Data Mining» more  ICDM 2005»
14 years 3 months ago
An Expected Utility Approach to Active Feature-Value Acquisition
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
FQAS
1998
Springer
133views Database» more  FQAS 1998»
14 years 2 months ago
Estimating the Quality of Databases
Abstract. With more and more electronic information sources becoming widely available, the issue of the quality of these often-competing sources has become germane. We propose a st...
Amihai Motro, Igor Rakov
KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 2 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...