Reda Mohamed Hamou

Reda Mohamed Hamou received an engineering degree in computer Science from the Computer Science department of Djillali Liabes University of Sidi-Belabbes-Algeria and PhD (Artificial intelligence) from the same University. He has several publications in the field of BioInspired and Metaheuristic in many journals as IJAMC, IJIRR, IJAEC, IJALR, IJISP, IJIIT, JITR, IJCINI, IJOCI, IJSIR, IJSI, IJAEIS, IJDSST, IJBRA, Applied Inteligence,.... His research interests include Data Mining, Text Mining, Classification, Clustering, computational intelligence, neural networks, evolutionary computation and Biomimetic optimization method. He is a head of research team in GecoDe laboratory. Dr. Hamou is an associate professor in technology faculty in UTMS University of Saida-Algeria.

Publications

An Approach based on Social Bees for an Intrusion Detection System by Scenario
An Approach based on Social Bees for an Intrusion Detection System by Scenario
Ahmed Chaouki Lokbani, Ahmed Lehireche, Reda Mohamed Hamou, Mohamed Amine Boudia. © 2020. 25 pages.
The aim of the authors' work is to model the intrusion detection system by scenario with a bio-inspired method in this case the system of protection of social bees. The...
New Bio Inspired Techniques in the Filtering of Spam: Synthesis and Comparative Study
New Bio Inspired Techniques in the Filtering of Spam: Synthesis and Comparative Study
Hadj Ahmed Bouarara, Reda Mohamed Hamou, Abdelmalek Amine. © 2020. 34 pages.
The internet era promotes electronic commerce and facilitates access to many services. In today's digital society the explosion in communication has revolutionized the field...
Advanced Metaheuristic Methods in Big Data Retrieval and Analytics
Advanced Metaheuristic Methods in Big Data Retrieval and Analytics
Hadj Ahmed Bouarara, Reda Mohamed Hamou, Amine Rahmani. © 2019. 320 pages.
The amount of data shared and stored on the web and other document repositories is steadily on the rise. Unfortunately, this growth increases inefficiencies and difficulties when...
The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam
The Impact of the Mode of Data Representation for the Result Quality of the Detection and Filtering of Spam
Reda Mohamed Hamou, Abdelmalek Amine, Moulay Tahar. © 2017. 19 pages.
Spam is now of phenomenal proportions since it represents a high percentage of total emails exchanged on the Internet. In the fight against spam, we are using this article to...
Using Data Mining Techniques and the Choice of Mode of Text Representation for Improving the Detection and Filtering of Spam
Using Data Mining Techniques and the Choice of Mode of Text Representation for Improving the Detection and Filtering of Spam
Reda Mohamed Hamou, Abdelmalek Amine. © 2015. 20 pages.
This chapter studies a boosting algorithm based, first, on Bayesian filters that work by establishing a correlation between the presence of certain elements in a message and the...