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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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Hashtag Recommendation Using Word Sequences’ Embeddings to topic or theme. Hashtags have been progressed into a multifaceted instrument to tag and track content, emphasise a standpoint or galvanise communal support across published posts on social networks. Although, by dint of the free hashtag creation strategy, users are having a broad toughness to ch
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Towards for Using Spectral Clustering in Graph Miningix representation of the graphs. We will focus on the use of Laplacian matrices afterwards. The spectral analysis of those matrices can give us interesting details about the processed graph. The input of the process is a set of data and the output will be a set of communities or clusters that regrou
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Automatic Classification of Air Pollution and Human Healthore 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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Deep Semi-supervised Learning for Virtual Screening Based on Big Data Analytics 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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