Titlebook: Computational Collective Intelligence; 9th International Co Ngoc Thanh Nguyen,George A. Papadopoulos,Gottfried Conference proceedings 2017

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Modularity of Sparse Random Graphs, validated with data from a real scenario and demonstrates acceptable results and the potential to be used in predicting real emergency scenarios. This model will be used by emergency management professionals in emergency prevention.

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Exponential time and bounded arithmetic,the hotels are perceived by their customers in terms of features and activities. The final step consists in matching between these opinions and the users’ preferences to generate the recommendations. A prototype was developed in order to show how this framework is really working.

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A Bidirectional-Based Spreading Activation Method for Human Diseases Relatedness Detection Using Disy graph. In Disease relatedness detection phase, disease relatedness is detected by running a bidirectional-based spreading activation algorithm and return the related path (set of diseases) if so. In addition, the classification of these diseases is provided as well.

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