Showing items with similar title or keywords.

• High-dimensional Big Data processing with dictionary learning and diffusion maps 

  Rotbart, Aviv (University of Jyväskylä, 2015)

  Algorithms for modern Big Data analysis deal with both massive amount of sam- ples and a large number of features (high-dimension). One way to cope with these challenges is to assume and discover the existence of ...

• Knowledge discovery using diffusion maps 

  Sipola, Tuomo (University of Jyväskylä, 2013)

• Dimensionality reduction framework for detecting anomalies from network logs 

  Sipola, Tuomo; Juvonen, Antti; Lehtonen, Joel (CRL Publishing, 2012)

  Dynamic web services are vulnerable to multitude of intrusions that could be previously unknown. Server logs contain vast amounts of information about network traffic, and finding attacks from these logs improves the ...

• Adaptive framework for network traffic classification using dimensionality reduction and clustering 

  Juvonen, Antti; Sipola, Tuomo (IEEE, 2012)

  Information security has become a very important topic especially during the last years. Web services are becoming more complex and dynamic. This offers new possibilities for attackers to exploit vulnerabilities by inputting ...

• Algorithms and software for biological multiscale image analysis 

  Paavolainen, Lassi (University of Jyväskylä, 2013)