127 citations · 366 across the 27 of their papers we have counts for
3 papers · 1 filter
An Experimental Survey on Big Data Frameworks
Wissem Inoubli, Sabeur Aridhi, Haithem Mezni +2
Recently, increasingly large amounts of data are generated from a variety of sources. Existing data processing technologies are not suitable to cope with the huge amounts of genera…
Big Graph Mining: Frameworks and Techniques
Sabeur Aridhi, Engelbert Mephu Nguifo
Big graph mining is an important research area and it has attracted considerable attention. It allows to process, analyze, and extract meaningful information from large amounts of…
Multiple instance learning for sequence data with across bag dependencies
Manel Zoghlami, Sabeur Aridhi, Mondher Maddouri +1
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a rand…