Chapitres de livres


1. El Bouhissi H., Patel, A., & Debnath, N. C. Recommender System for E-Commerce: How Ontologies Support Recommendations2023, Data Science with Semantic Technologies (pp. 287-297), CRC Press, Taylor & Francis Group, UK

2. El Bouhissi H. Recommendation Systems2023, Encyclopedia of Data Science and Machine Learning (pp. 2839-2855), IGI Global, USA. 

3. T. Cheurfa, S. Cheurfa, S. Ladjouzi.Le web marketing. Quelles pratiques pour les entreprises du secteur agroalimentaire en Algérie ? In Ouvrage collectif  international :  قانون الأعمال   ورهانات التحول الرقمي  .MNCSS PUBLICATIONS, Janvier 2023, pp. 762-777.



1. H. Slimani. Nonconvex nonsmooth minimax fractional programming involving generalized semidifferentiable preinvex functions with different directions. In A. Jayswal and T. Antczak Editors, Recent Advances in Continuous Optimization and Variational Inequalities, pp. 95-128, Chapman and Hall/CRC Press: Taylor & Francis 2022.

2. A. Akilal and M-T Kechadi. A Forensic-Ready Intelligent Transportation System. In S. Paiva et al. Science and Technologies for Smart Cities. SmartCity 360 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 442. Springer, Cham.

3. H. El Bouhissi, P. Archana, and C-D Narayan. Toward Data Integration in the Era of Big Data. Role of Ontologies. Semantic Web Technologies: Research and Applications. October 2022, Taylor & Francis Group. Chapter 16|22 pages-

4. S. Sadouki- Chibani, S. Ouhadda-Ait Hacene. Elephant Herding Optimization Metaheuristic to Minimize Electricity Cost in a Smart House. In: Hatti, M. (eds) Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities, Case Study: Tipasa, Algeria. IC-AIRES’2021. Lecture Notes in Networks and Systems, vol 361. Springer, Cham (2022).







1. M. Naili, A. Boubetra and A. Tari, Fuzzy Multi-Criteria Decision Making Methods for E-Commerce Issues. In Fuzzy Optimization and Multi-Criteria Decision Making in Digital Marketing , pp. 20-58, IGI Global, 2016.





1. A. Brighen, L. Bellatreche, H. Slimani and Z. Faget. An economical query cost model in the cloud. B. Hong et al. (Eds.): DASFAA Workshops 2013, LNCS 7827, pp. 16–30, Springer-Verlag Berlin Heidelberg 2013.