Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Research in context-aware computing has produced a number of application prototypes, frameworks, middlewares and models for describing context. However, development of ubiquitous ...
Compared to the last decades, we have recently seen more and more governmental applications which are provided via the Internet directly to the citizens. Due to the long history o...
Andreas Ekelhart, Stefan Fenz, Thomas Neubauer, Ed...
Tagging has become increasingly popular and useful across various social networks and applications. It allows users to classify and organize resources for improving the retrieval p...