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In data mining, link prediction for the networks is one of the areas of greatest interest today. Research achievements of link prediction problem can be applied in many fields such as study genetically transferred diseases, online marketing, e-commerce services, discover the structure of criminal networks, friend request in social networks … However, most of researchers focused on predicting the existence...
Convolutional Neural Networks (CNNs) have been established as a powerful class of models for image recognition problems giving state-of-the-art results on recognition, detection, segmentation, classification and retrieval. Encouraged by these results, we develop our previous work [14] by implementing deep neural network architecture for extracting and representing visual features to improve the clustering...
Clustering Web video search results is to help users locating videos of interest in more effective manner. To cluster returned videos, existing works proposed to use textual and visual similarity of videos. However, one of their limitations is that semantic similarity of textual metadata was not considered. Meanwhile, metadata of videos are usually annotated by users with words of high semantic level...
In signed social network, the user-generated content and interactions have overtaken the web. Questions of whom and what to trust has become increasingly important. We must have methods which predict the signs of links in the social network to solve this problem. We study signed social networks with positive links (friendship, fan, like, etc) and negative links (opposition, anti-fan, dislike, etc)...
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