Sciweavers

5463 search results - page 186 / 1093
» Evaluating algorithms that learn from data streams
Sort
View
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
16 years 5 months ago
Learning nonstationary models of normal network traffic for detecting novel attacks
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
Matthew V. Mahoney, Philip K. Chan
ECCV
2008
Springer
16 years 6 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
ICML
2006
IEEE
16 years 5 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
190
Voted
ECTEL
2011
Springer
14 years 4 months ago
On the Way to a Science Intelligence: Visualizing TEL Tweets for Trend Detection
This paper presents an adaptable system for detecting trends based on the micro-blogging service Twitter, and sets out to explore to what extent such a tool can support researchers...
Peter Kraker, Claudia Wagner, Fleur Jeanquartier, ...
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 11 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han