Distributed data mining (DDM) is the semi-automatic pattern extraction of distributed data sources. The next generation of the data mining studies will be distributed data mining ...
Ezendu Ifeanyi Ariwa, Mohamed B. Senousy, Mohamed ...
This paper addresses the problem of threshold traitor tracing for digital content where, by embedding appropriate digital patterns into the distributed content, it is possible to t...
Interactions that determinecellular fate are exceedingly complex, can take place at different levels of gene regulation and involve a large numberof components(such as genes, prot...
Router syslogs are messages that a router logs to describe a wide range of events observed by it. They are considered one of the most valuable data sources for monitoring network ...
This work is related to the KEEL1 (Knowledge Extraction based on Evolutionary Learning) tool, a non-commercial software that supports data management, design of experiments and an ...