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Opinion mining on experience feedback: A case study on smarphones reviews

Through the development of electronic commerce, social media and collaborative media, the social commerce appeared. Social commerce, a subset of electronic commerce, is based on social interactions in order to buy and sell goods and services. …

Challenges to building a platform for a breast cancer risk score

Cancer has recently become the leading cause of death worldwide according to the World Health Organization. As a consequence, health authorities acknowledge the need to implement prevention and screening programs to decrease its incidence. The …

Breast cancer risk score: a data mining approach to improve readability

According to the World Health Organization, starting from 2010, cancer will become the leading cause of death worldwide. Prevention of major cancer localizations through a quantified assessment of risk factors is a major concern in order to decrease …

Etudiants et enseignants face à l'approche par compétences

Les difficultés rencontrées par les enseignants pour valoriser leurs enseignements dans les référentiels de formation (CDIO, Kratwohl Anderson, etc.) viennent souvent de la complexité à intégrer une certaine transversalité dans un enseignement …

An ontology driven data mining process

This paper deals with knowledge integration in a data mining process. We suggest to model domain knowledge during business understanding and data understanding steps in order to build an ontology driven information system (ODIS). We present the KEOPS …

Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC

In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization. Next, in order to correctly parameterize our …

Interesting patterns extraction using prior knowledge

One important challenge in data mining is to extract interesting knowledge and useful information for expert users. Since data mining algorithms extracts a huge quantity of patterns it is therefore necessary to filter out those patterns using various …