208 citations · 643 across the 71 of their papers we have counts for
82 papers
An Ontology-based Collaborative Business Intelligence Framework
Muhammad Fahad, Jérôme Darmont
Business Intelligence constitutes a set of methodologies and tools aiming at querying, reporting, on-line analytic processing (OLAP), generating alerts, performing business analyti…
A Reference Model for Collaborative Business Intelligence Virtual Assistants
Olga Cherednichenko, Fahad Muhammad, Jérôme Darmont +1
Collaborative Business Analysis (CBA) is a methodology that involves bringing together different stakeholders, including business users, analysts, and technical specialists, to col…
Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
Abderrazek Azri, Cécile Favre, Nouria Harbi +2
The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact. Manually assessing the veracity of social media messages i…
The Collaborative Business Intelligence Ontology (CBIOnt)
Muhammad Fahad, Jérôme Darmont, Cécile Favre
In the current era, many disciplines are seen devoted towards ontology development for their domains with the intention of creating, disseminating and managing resource description…
Dimensional Data KNN-Based Imputation
Yuzhao Yang, Jérôme Darmont, Franck Ravat +1
Data Warehouses (DWs) are core components of Business Intelligence (BI). Missing data in DWs have a great impact on data analyses. Therefore, missing data need to be completed. Unl…
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
Abderrazek Azri, Cécile Favre, Nouria Harbi +2
Reputed by their low-cost, easy-access, real-time and valuable information, social media also wildly spread unverified or fake news. Rumors can notably cause severe damage on indiv…