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Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of Web user profiles. In the last years, in the area of recommender systems, the Netflix contest has been very attractive for the researchers. However, many recent papers on recommender systems present results evaluated with the methodology used in the Netflix...
Along with the popularization of computers, especially the wide use of Internet, malicious code in recent years has presented a serious threat to our world. In this paper, through the analysis against the suspicious behaviors of vicious program by function calls, we present an approach of malware detection which is based on analysis and distilling of representative characteristic and systemic description...
The current challenge for teachers and trainers is to change the way they teach by becoming competent to integrate ICTs into their traditional teaching methods. To our knowledge few studies, if any, have examined this integration into a continuous training process in the work place. This paper presents the problem, the objectives and the methodology of a study that aims to experiment with a mixed...
In this paper, we present a scheme of steganalysis of JPEG images with the use of polynomial fitting and computational intelligence techniques. Based on the Generalized Gaussian Distribution (GGD) model in the quantized DCT coefficients, the errors between the logarithmic domain of the histogram of the DCT coefficients and the polynomial fitting are extracted as features to detect the adulterated...
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