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» Evaluating algorithms that learn from data streams
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SDM
2007
SIAM
177views Data Mining» more  SDM 2007»
15 years 6 months ago
Bursty Feature Representation for Clustering Text Streams
Text representation plays a crucial role in classical text mining, where the primary focus was on static text. Nevertheless, well-studied static text representations including TFI...
Qi He, Kuiyu Chang, Ee-Peng Lim, Jun Zhang
GRAPHICSINTERFACE
2009
15 years 2 months ago
Fast low-memory streaming MLS reconstruction of point-sampled surfaces
We present a simple and efficient method for reconstructing triangulated surfaces from massive oriented point sample datasets. The method combines streaming and parallelization, m...
Gianmauro Cuccuru, Enrico Gobbetti, Fabio Marton, ...
KDD
2004
ACM
164views Data Mining» more  KDD 2004»
16 years 5 months ago
Ordering patterns by combining opinions from multiple sources
Pattern ordering is an important task in data mining because the number of patterns extracted by standard data mining algorithms often exceeds our capacity to manually analyze the...
Pang-Ning Tan, Rong Jin
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 8 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
NOSSDAV
2011
Springer
14 years 7 months ago
A measurement study of resource utilization in internet mobile streaming
The pervasive usage of mobile devices and wireless networking support have enabled more and more Internet streaming services to all kinds of heterogeneous mobile devices. However,...
Yao Liu, Fei Li, Lei Guo, Songqing Chen