Titlebook: Intelligent Systems in Big Data, Semantic Web and Machine Learning; Noreddine Gherabi,Janusz Kacprzyk Book 2021 The Editor(s) (if applicab

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Jamal Mabrouki,Maria Benbouzid,Driss Dhiba,Souad El Hajjajirata, the aeration of soils, the drying of certain materials, some catalytic reactions, purification by adsorption, isotope separation, column chro­ matography, cooling of nuclear reactors, and the permeability of various packing materials. The evolution of the understanding of this subject has not

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Experimental Evaluation of Proposed Algorithm for Identifying Abnormal Messages in SIP Network,ia session through internet network. In recent decades, SIP is coming more and more popular as it is adopted by many typical applications such as telephony over IP (ToIP). Due to its popularity, SIP has some security problems that we have to be resolve. In this paper, we concentrate our efforts on S

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Semantic Image Analysis for Automatic Image Annotation,hed light on a study conducted to boost the efficiency of semantic image analysis for improving automatic image annotation. We have explored, in this research study, different aspects of semantic analysis to overcome the semantic gap problem. In the first part of this research study, we evaluated th

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A Distributed Intrusion Detection Approach Based on Machine Leaning Techniques for a Cloud Securityrity of data and resources. Thereby, the security task of personal information is highly requested. The cloud computing technology allows users and organizations several capabilities to store and process data in a privately owned cloud or on a third party server to make data accessing mechanisms mor

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Cb2Onto: OWL Ontology Learning Approach from Couchbase,ics accentuate the heterogeneity and complexity of data, which exceeds the capacity of traditional systems to cope with it. Due to the aforementioned characteristics, it is crucial to have a unified conceptual view of the data, as well as, an efficient representation of knowledge for big data manage