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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
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 …
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.
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 …
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 …
(item and user), which can impact the quality of recommendation since they only use two …