Author of the publication

Defining and Analyzing P2P Applications with a Data-Dependency Formalism.

, , and . PDCAT, page 317-322. IEEE, (2012)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Detection and elimination of class noise in large datasets using partitioning filter technique., , and . CIST, page 194-199. IEEE, (2016)Evaluation of recent advances in recommender systems on Arabic content., , , and . J. Big Data, 8 (1): 1-19 (2021)Using a Residential Environment Domain Ontology for Discovering and Integrating Smart Objects in Complex Scenarios., , and . ANT/SEIT, volume 32 of Procedia Computer Science, page 997-1002. Elsevier, (2014)Defining and Analyzing P2P Applications with a Data-Dependency Formalism., , and . PDCAT, page 317-322. IEEE, (2012)A Concise Survey on Content Recommendations., , , and . BDCA, volume 872 of Communications in Computer and Information Science, page 393-405. Springer, (2018)Big data analytics in telecommunications: Governance, architecture and use cases., and . J. King Saud Univ. Comput. Inf. Sci., 34 (6 Part A): 2758-2770 (2022)A Distributed Ensemble of Deep Convolutional Neural Networks with Random Forest for Big Data Sentiment Analysis., , and . MSPN, volume 11557 of Lecture Notes in Computer Science, page 153-162. Springer, (2019)Developing Component-Based Applications with a Data-Centric Approach and within a Service-Oriented P2P Architecture: Specification, Analysis and Middleware. (Développement d'Applications à Base de Composants avec une Approche Centrée sur les Données et dans une Architecture Orientée Service et Pair-à-Pair : Spécification, Analyse et Intergiciel).. Mohammed V University at Agdal, France, (2012)A distributed group recommendation system based on extreme gradient boosting and big data technologies., , and . Appl. Intell., 49 (12): 4128-4149 (2019)FRAIPA version 2: A fast recommendation approach based on self-adaptation and multi-thresholding., , and . Expert Syst. Appl., (2019)