Fatiha Barigou

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An important amount of clinical data concerning the medical history of a patient is in the form of clinical reports that are written by doctors. They describe patients, their pathologies, their personal and medical histories, findings made during interviews or during procedures, and so forth. They represent a source of precious information that can be used(More)
In this study, we focus on the problem of spam detection. Based on a cellular automaton approach and naïve Bayes technique which are built as individual classifiers we evaluate a novel method combining multiple classifiers diversified both by feature selection and different classifiers to determine whether we can more accurately detect Spam. This approach(More)
As rapid growth over the Internet nowadays, electronic mail (e-mails) has become a popular communication tool. However, junk mail also, known as spam has increasingly become a part of life for users as well as internet service providers. To address this problem, many solutions have been proposed in the last decade. Currently, content-based anti-spam(More)
A considerable amount of research and technology development has been emerged to address the problem of spam detection. Based on a Boolean cellular approach and naïve Bayes technique built as individual classifiers, we evaluate a novel method that combines these two classifiers to determine whether we can more accurately detect Spam. Experimental(More)
Sequencing projects arising from high throughput technologies including those of sequencing DNA microarrays allowed to simultaneously measure the expression levels of millions of genes of a biological sample as well as annotate and identify the role (function) of those genes. Consequently, to better manage and organize this significant amount of(More)