Minyar Sassi Hidri

ParallelCharMax: An Effective Maximal Frequent Itemset Mining Algorithm Based on MapReduce Framework

2017

Nowadays, the explosive growth in data collection in business and scientific areas has required the need to analyze and mine useful knowledge residing in these data. The recourse to data mining techniques seems to be …

An Ontology-driven MapReduce Framework for Association Rules Mining in Massive Data

2018 · Procedia Computer Science

To be competitive, companies need to be able to take advantage of the huge amounts of data, called also Big Data deluge, to predict what might happen in the future. In this way, predictive analytics …