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» Distributed Data Mining Models as Services on the Grid
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GIS
2008
ACM
16 years 7 months ago
Parallel ODETLAP for terrain compression and reconstruction
We introduce a parallel approximation of an Over-determined Laplacian Partial Differential Equation solver (ODETLAP) applied to the compression and restoration of terrain data use...
Jared Stookey, Zhongyi Xie, Barbara Cutler, W. Ran...
KDD
2005
ACM
177views Data Mining» more  KDD 2005»
15 years 11 months ago
Combining partitions by probabilistic label aggregation
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...
Tilman Lange, Joachim M. Buhmann
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 10 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
ISPDC
2008
IEEE
16 years 17 days ago
Algorithms for Network Topology Discovery using End-to-End Measurements
Identifying and inferring performances of a network topology is a well known problem. Achieving this by using only end-to-end measurements at the application level is a method kno...
Laurent Bobelin, Traian Muntean
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 25 days ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...