Link Weight Prediction Using Supervised Learning Methods and Its Applicationto Yelp Layered Network 原文地址:https://ieeexplore.ieee.org/abstract/document/8281007/ 摘要 Real-world networks feature weights of interactions, where link weights often represent some physical attributes. In many situations, to...
Link Prediction using Supervised LearningLee, Daniel DSeung, H. SebastianM. A. Hasan, V. Chaoji, S. Salem, and M. Zaki. Link prediction using supervised learning. In SDM 06 workshop on Link Analysis, Counterterrorism and Security, 2006....
Link prediction is a key research direction within this area. In this paper, we study link prediction as a supervised learning task. Along the way, we identify a set of features that are key to the performance under the supervised learning setup. The identified features are very easy to ...
Link prediction using supervised learning. In: SDM06: Workshop on Link Analysis, Counter-terrorism and Security. Bethesda: SIAM: 2006. Google Scholar Benchettara N, Kanawati R, Rouveirol C. Supervised machine learning applied to link prediction in bipartite social networks. In: 2010 ...
Real world complex networks are indirect representation of complex systems. They grow over time. These networks are fragmented and raucous in practice. An important concern about complex network is link prediction. Link prediction aims to determine the p
[7] ICHISE R,WOHLFARTH T.Semantic and eventGbased apG proachforlinkprediction[C]∥Proceedingsofthe7thInternaG tionalConferenceonPracticalAspectsofKnowledge ManageG ment(PAKM'08).Yokohama,2008:50G61. [8] HASAN M I,CHAOJI V,SALEM S,et al.Link prediction usingsupervisedlearning[J].Counter...
Our private connections can be exposed by link prediction algorithms. To date, this threat has only been addressed from the perspective of a central authority, completely neglecting the possibility that members of the social network can themselves mitigate such threats. We fill this gap by studying...
Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction We propose Link Propagation as a new semi-supervised learning method for link prediction problems, where the task is to predict unknown parts of the networ... H Kashima,T Kato,Y Yamanishi,... - Proc Siam ...
Due to its numerous applications in various network-centered domains, the problem of link prediction has been extensively studied in recent years, which can be classified into four main categories, namely, 1) unsupervised methods, 2) supervised methods, 3) probabilistic model based methods, and 4...
Link prediction is an attractive research topic in the field of data mining and has significant applications in improving performance of recommendation system and exploring evolving mechanisms of the complex networks. A variety of complex systems in real world should be abstractly represented as bipartit...