Frequent Itemset Mining (FIM) is one of the most well known techniques to extract
knowledge from data. The combinatorial explosion of FIM methods become even more …

Nowadays, there is an increasing demand in mining interesting patterns from the big data.
The process of analyzing such a huge amount of data is really computationally complex task …

Tremendous amount of data is getting explored through IOT (Internet of Things) from variety
of sources such as sensor network, social media feed, internet applications, called as Big …

Power consumption is a major factor to be taken into consideration when using mobile
devices in the IoT field. Good Power management requires proper understanding of the way …

Action Rules are rule based systems for discovering actionable patterns hidden in a large
dataset. Action Rules recommend actions that a user or a system can undertake to their …

Frequent item set mining is an exploratory data mining technique that has fruitfully been
exploited to extract recurrent co-occurrences between data items. Since in many application …

Bigdata comes into big picture in early 2000, since it becomes focus of researchers and data
scientist. Main purpose of research and development in the field of Bigdata is to extract and …

In the context of Big Data, complex data from heterogeneous and distributed sources is
potentially unlimited in number. The analysis of these data is now at the center of the …

As data volumes continue to grow, they quickly consume the capacity of data warehouses
and application databases. Is your IT organization forced into costly upgrades to expensive …

Les ontologies deviennent, de plus en plus, des modèles de représentation et de stockage
d'informations très efficaces facilitant le traitement et la gestion des connaissances à travers …