Talel Abdessalem
نویسنده
چکیده
• Web information extraction • GIS, moving objects and spatio-temporal data management • Data evolution and version management
منابع مشابه
Improving tag recommendation by folding in more consistency
Tag recommendation is a major aspect of collaborative tagging systems. It aims to recommend tags to a user for tagging an item. In this paper we present a part of our work in progress which is a novel improvement of recommendations by re-ranking the output of a tag recommender. We mine association rules between candidates tags in order to determine a more consistent list of tags to recommend. O...
متن کاملUsing Data Stream Management Systems to analyze Electric Power Consumption Data
With the development of AMM (Automatic Metering Management), it will be possible for electric power suppliers to acquire from the customers their electric power consumption up to every second. This will generate data arriving in multiple, continuous, rapid, and time-varying data streams. Data Stream Management Systems (DSMS) currently available as prototypes aim at facilitating the management o...
متن کاملTraitement de données de consommation électrique par un Système de Gestion de Flux de Données
Résumé. Avec le développement de compteurs communicants, les consommations d’énergie électrique pourront à terme être télérelevées par les fournisseurs d’électricité à des pas de temps pouvant aller jusqu’à la seconde. Ceci générera des informations en continu, à un rythme rapide et en quantité importante. Les Systèmes de Gestion de Flux de Données (SGFD), aujourd’hui disponibles sous forme de ...
متن کاملFoldCons: A Simple Way To Improve Tag Recommendation
Tag recommendation is a major aspect of collaborative tagging systems. It aims to recommend tags to a user for tagging an item. In this paper we present a part of our work in progress which is a novel improvement of recommendations by re-ranking the output of a tag recommender. We mine association rules between candidates tags in order to determine a more consistent list of tags to recommend. O...
متن کاملec 2 01 2 Dynamic recommender system : using cluster - based biases to improve the accuracy of the predictions
It is today accepted that matrix factorization models allow a high quality of rating prediction in recommender systems. However, a major drawback of matrix factorization is its static nature that results in a progressive declining of the accuracy of the predictions after each factorization. This is due to the fact that the new obtained ratings are not taken into account until a new factorizatio...
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تاریخ انتشار 2012