DENCLUE-IM: A new approach for big data clustering

H Rehioui, A Idrissi, M Abourezq, F Zegrari - Procedia Computer Science, 2016 - Elsevier
Every day, a large volume of data is generated by multiple sources, social networks, mobile
devices, etc. This variety of data sources produce an heterogeneous data, which are …

An improvement of DENCLUE algorithm for the data clustering

A Idrissi, H Rehioui, A Laghrissi… - 2015 5th International …, 2015 - ieeexplore.ieee.org
Classification is one of important tasks in the Data Mining field. It aims to merge the similar
data into a group. In this context, several methods of classification have been proposed in …

Resource allocation with efficient load balancing in cloud environment

F Zegrari, A Idrissi, H Rehioui - … of the International Conference on Big …, 2016 - dl.acm.org
Cloud computing is among the most active research fields. It provides users services and
applications in distributed mode. It is a concept of deportation of applications and data on a …

Top-k and skyline for cloud services research and selection system

A Idrissi, K El Handri, H Rehioui… - Proceedings of the …, 2016 - dl.acm.org
Cloud Services remain one of the largest segments in the world because it has experienced
very rapid growth published, which makes the service selection and recommendation a …

Review of Recommendation Systems and their Applications in E-learning

A Er-Rafyg, A Idrissi - Modern Artificial Intelligence and Data Science …, 2023 - Springer
In recent years, we are in front of exponential increasing of the learning resources on the
Web. It takes a lot of the learner's time and effort to locate training resources that are …

Routing in wireless Ad Hoc networks using the Skyline operator and an outranking method

M Abourezq, A Idrissi, F Yakine - … Conference on Internet of things and …, 2016 - dl.acm.org
The issue of routing in wireless networks has been widely addressed, but mostly using
conventional routing protocols. We proposed, in a previous work, a new approach to routing …

Modeling and optimization of the network functions placement using constraint programming

A Laghrissi, S Retal, A Idrissi - … of the International Conference on Big …, 2016 - dl.acm.org
In Carrier Cloud, the on-demand edification of a carrier-grade mobile network on the cloud
in an elastic way provides a flexible network thanks to the Network Functions Virtualization …

Deep Reinforcement Learning in Financial Markets Context: Review and Open Challenges

Y Boutyour, A Idrissi - Modern Artificial Intelligence and Data Science …, 2023 - Springer
The advancement of reinforcement learning techniques has increased their application
across many industries, including the financial markets. An overview of reinforcement …

[PDF][PDF] Multicast Routing with Quality of Service Constraints in the Ad Hoc Wireless Networks.

A Idrissi, F Yakine - J. Comput. Sci., 2014 - researchgate.net
The recent multimedia applications and services are very demanding in terms of Quality of
Service (QoS). This creates new challenges in ensuring QoS when delivering those services …

A New Context-Based Factorization Machines for Context-Aware Recommender Systems

R Madani, A Idrissi, A Ez-Zahout - Modern Artificial Intelligence and Data …, 2023 - Springer
Traditional recommender systems provide recommendations based on two dimensions
(item and user), which can impact the quality of recommendation since they only use two …