Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach

observations in this experiment but it is not used in the regression algorithm. This is a specific form of the Bellman equation [10] with the transformation t being a

Mixmod is a well-established software package for fitting a mixture model of mul- tivariate Gaussian or multinomial probability distribution functions to a given data set with either

The most commonly used paradigm to detect spammers on social networks is the supervised classification approach, which builds statistical classifiers of social accounts (or

Then the classification module has to automatically determine the best features set for the given set of document classes during a learning step.. This paper presents a

A formal social news aggregation model has been developed, which includes the model of user of the social news aggregation on the basis of fuzzy measures of its

The next parts in this section present algorithms which are incremental and also seem to be adapted to process data streams: able to learn without slowing down the stream

With a set of 1, 000 labeling, the SVM classification error is 4.6% with SVM training set of 60 labels (1% of the database size), with no kernel optimization nor advanced

Supervised classification, support vector machine, multi-class SVM, Nash equilibrium, generalized Nash equilibrium, game theory.. 1 Institut de Math´ ematiques de Toulouse, UMR