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» Structured metric learning for high dimensional problems
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CCS
2007
ACM
14 years 1 months ago
Network anomaly detection based on TCM-KNN algorithm
Intrusion detection is a critical component of secure information systems. Network anomaly detection has been an active and difficult research topic in the field of Intrusion Dete...
Yang Li, Binxing Fang, Li Guo, You Chen
PKDD
2005
Springer
125views Data Mining» more  PKDD 2005»
14 years 1 months ago
A Propositional Approach to Textual Case Indexing
Abstract. Problem solving with experiences that are recorded in text form requires a mapping from text to structured cases, so that case comparison can provide informed feedback fo...
Nirmalie Wiratunga, Robert Lothian, Sutanu Chakrab...
SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 4 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
AAAI
2004
13 years 9 months ago
Self-Organizing Visual Maps
This paper deals with automatically learning the spatial distribution of a set of images. That is, given a sequence of images acquired from well-separated locations, how can they ...
Robert Sim, Gregory Dudek
CGF
2007
156views more  CGF 2007»
13 years 7 months ago
Automatic Light Source Placement for Maximum Visual Information Recovery
The automatic selection of good viewing parameters is a very complex problem. In most cases, the notion of good strongly depends on the concrete application. Moreover, when an int...
Pere-Pau Vázquez