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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
14 years 1 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...
CLOUDCOM
2010
Springer
13 years 6 months ago
A Study in Hadoop Streaming with Matlab for NMR Data Processing
Applying Cloud computing techniques for analyzing large data sets has shown promise in many data-driven scientific applications. Our approach presented here is to use Cloud comput...
Kalpa Gunaratna, Paul Anderson, Ajith Ranabahu, Am...
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
14 years 8 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
IPPS
2007
IEEE
14 years 2 months ago
Annotation Integration and Trade-off Analysis for Multimedia Applications
Multimedia applications for mobile devices, such as video/audio streaming, process streams of incoming data in a regular, predictable way. Content-aware optimizations through anno...
Radu Cornea, Alex Nicolau, Nikil Dutt
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
14 years 9 days ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu