Titlebook: Knowledge Science, Engineering and Management; 10th International C Gang Li,Yong Ge,Michael Blumenstein Conference proceedings 2017 Springe

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Knowledge Science, Engineering and Management978-3-319-63558-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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A Behavior-Based Method for Distinction of Flooding DDoS and Flash Crowdsrs of legitimate users and Bots, and proposed an idea employed Random Forest to distinguish DDoS and FC on two widely-used datasets. The results show that the proposed idea can achieve distinguishing accuracy more than 95%. With comparison with traditional methods-Entropy, it still has a high accuracy.

尾巴

Improved Knowledge Base Completion by the Path-Augmented TransR Modelprove the accuracy of link prediction. In our approach, we build PTransR based on TransR, which is the best one-hop model at present. Then we regularize TransR with information of relation paths. In our experiment, we evaluate PTransR on the task of entity prediction. Experimental results show that PTransR outperforms previous models.

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Fissure

北極人

Weakly Supervised Feature Compression Based Topic Model for Sentiment Classificationsting methods are centered on the semantic relationships and the extraction of syntactic feature, while the document topic feature is ignored. In this paper, a weakly supervised hierarchical model called external knowledge-based Latent Dirichlet Allocation (ELDA) is proposed to extract document topi

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A Hidden Astroturfing Detection Approach Base on Emotion Analysismotion analysis and unfair rating detection together. This approach contains five functional modules as: a data crawling module, pre-processing module, bag-of-word establishment module, emotion mining and analysis module and matching module. We give ROC curve (AUC) to evaluate the approach proposed

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