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Titlebook: Big Data, Cloud and Applications; Third International Youness Tabii,Mohamed Lazaar,Nourddine Enneya Conference proceedings 2018 Springer N

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Introduction to Mathematical Logicore especially in the term of air pollution and its relationship with human health, especially in the city of Mohammedia (Northern part of Morocco). Authors build a tool in the form of data mining scheme, to couple the data with machine learning, in order to automatically align the features of massi
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Introduction: Biological Sequences researchers have turned to Deep Learning (DL) techniques based on Big Data Analytics. On the other hand, the ever-increasing size of unlabelled data combined with the difficulty of obtaining class labels has made semi-supervised learning an interesting alternative of significant practical importanc
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Markov Chains and Hidden Markov Modelsn Natural Language Processing applications, especially in academic plagiarism detection. Yet, computing citation similarity is not a trivial task, due to the incomplete and ambiguous information presented in academic papers, which makes necessity to leverage extra knowledge to understand it, as well
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Informal Learning in Twitter: Architecture of Data Analysis Workflow and Extraction of Top Group of s and user engagement in collaboration and information sharing. In nutshell the web has been transformed from static media to the preferred communication media where the user is a key player in the creation of his experiences. The increase in the popularity of social networks on the Web has shaken u
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A MapReduce-Based Adjoint Method to Predict the Levenson Self Report Psychopathy Scale Valueedicting the Levenson Self Report Psychopathy factors would help investigator and even psychologist to spot offenders. In this paper, a statistical model is performed with the aim of predicting the Levenson Self Report Psychopathy scale value. For this purpose, the multiple regression statistical me
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Big Data Optimisation Among RDDs Persistence in Apache Sparkjects, e-commerce, and radars. Several technologies are implemented to generate all this data which is incremented quickly. In order to exploit this data efficiently and durably, it is important to respect the dynamics of their chronological evolution. For fast and reliable processing, powerful tech
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A Proposed Approach to Reduce the Vulnerability in a Cloud Systeme will propose new detection and prevention mechanisms for cloud systems to protect against different types of attacks and vulnerabilities by improving a new architecture that provides a security mechanism including a virtual firewall and IDS/IPS (Intrusion Detection and Prevention System) which aim
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A Novel Text Encryption Algorithm Based on the Two-Square Cipher and Caesar Cipherlability of data, also known as the CIA Triad. In this work, we introduce a new hybrid system based on two different encryption techniques: two square cipher and Caesar cipher with multiples keys. This homogeneity between the two systems allows us to provide the good properties of the two square cip
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