21 citations · 42 across the 9 of their papers we have counts for
10 papers
A construction of an optimal base for conditional attribute and attributional condition implications in triadic contexts
Romuald Kwessy Mouona, Blaise Blériot Koguep Njionou, Etienne Romuald Temgoua Alomo +2
This article studies implications in triadic contexts. Specifically, we focus on those introduced by Ganter and Obiedkov, namely conditional attribute and attributional condition i…
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…
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,…
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…
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…
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…