A new cloud computing approach based SVM for relevant data extraction

With the exponential growth of the processed and stored information on the Internet, it has become more than necessary to use cloud computing technologies and relevant information extraction techniques (data mining) to reduce the stored and processed information volume, which leads to reduce the material costs. In this paper we present a new cloud computing architecture based on a new SVM technique for generating learning models that allows information filtering in order to extract the most relevant data.