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» On exploiting the power of time in data mining
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PKDD
2004
Springer
91views Data Mining» more  PKDD 2004»
14 years 2 months ago
Summarization of Dynamic Content in Web Collections
This paper describes a new research proposal of multi-document summarization of dynamic content in web pages. Much information is lost in the Web due to the temporal character of w...
Adam Jatowt, Mitsuru Ishizuka
RAID
2009
Springer
14 years 3 months ago
Regular Expression Matching on Graphics Hardware for Intrusion Detection
The expressive power of regular expressions has been often exploited in network intrusion detection systems, virus scanners, and spam filtering applications. However, the flexibl...
Giorgos Vasiliadis, Michalis Polychronakis, Spyros...
EUROPAR
2000
Springer
14 years 12 days ago
Cache Remapping to Improve the Performance of Tiled Algorithms
With the increasing processing power, the latency of the memory hierarchy becomes the stumbling block of many modern computer architectures. In order to speed-up the calculations, ...
Kristof Beyls, Erik H. D'Hollander
NN
2008
Springer
152views Neural Networks» more  NN 2008»
13 years 8 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
14 years 6 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He