activity
20192024
most citedIdentifying Influential Nodes in Two-mode Data Networks using Formal Concept Analysis

10 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2024

Querying Triadic Concepts through Partial or Complete Matching of Triples

Pedro Henrique B. Ruas, Rokia Missaoui, Mohamed Hamza Ibrahim

In this paper, we introduce a new method for querying triadic concepts through partial or complete matching of triples using an inverted index, to retrieve already computed triadic…

cs.AI2023

Enhancing Actionable Formal Concept Identification with Base-Equivalent Conceptual-Relevance

Ayao Bobi, Rokia Missaoui, Mohamed Hamza Ibrahim

In knowledge discovery applications, the pattern set generated from data can be tremendously large and hard to explore by analysts. In the Formal Concept Analysis (FCA) framework,…

cs.AI2021★ 4 cited

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure

Mohamed-Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

Discovering meaningful conceptual structures is a substantial task in data mining and knowledge discovery applications. While off-the-shelf interestingness indices defined in Forma…

cs.SI2021★ 10 cited

Identifying Influential Nodes in Two-mode Data Networks using Formal Concept Analysis

Mohamed-Hamza Ibrahim, Rokia Missaoui, Jean Vaillancourt

Identifying important actors (or nodes) in a two-mode network often remains a crucial challenge in mining, analyzing, and interpreting real-world networks. While traditional bipart…

cs.SI2019

Detecting Local Community Structures in Social Networks Using Concept Interestingness

Mohamed-Hamza Ibrahim, Rokia Missaoui, Abir Messaoudi

One key challenge in Social Network Analysis is to design an efficient and accurate community detection procedure as a means to discover intrinsic structures and extract relevant i…