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GFKL
2007
Springer
163views Data Mining» more  GFKL 2007»
14 years 2 months ago
Fast Support Vector Machine Classification of Very Large Datasets
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...
Janis Fehr, Karina Zapien Arreola, Hans Burkhardt
BMCBI
2008
119views more  BMCBI 2008»
13 years 10 months ago
A new method for 2D gel spot alignment: application to the analysis of large sample sets in clinical proteomics
Background: In current comparative proteomics studies, the large number of images generated by 2D gels is currently compared using spot matching algorithms. Unfortunately, differe...
Sabine Pérès, Laurence Molina, Nicol...
ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
13 years 8 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
ICDE
2003
IEEE
160views Database» more  ICDE 2003»
14 years 11 months ago
SWAT: Hierarchical Stream Summarization in Large Networks
The problem of statistics and aggregate maintenance over data streams has gained popularity in recent years especially in telecommunications network monitoring, trend-related anal...
Ahmet Bulut, Ambuj K. Singh
UBIMOB
2009
ACM
225views Management» more  UBIMOB 2009»
14 years 2 months ago
Historical data storage for large scale sensor networks
Wireless sensor networks are rapidly finding their way through a plethora of new applications like precision farming and forestry, with increasing network scale, system complexit...
Loïc Petit, Abdelhamid Nafaa, Raja Jurdak