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Collaborative filtering recommender systems are now popular both commercially and in the research community. However, they are vulnerable to manipulation by malicious users, where attackers inject into some fake user profiles in order to bias the recommendation results to their benefits. To solve the problem, a lots of methods have been proposed but mainly focus on identification the attacker at the...
A novel algorithm which combines clustering analysis and SVM is proposed for classification. Specifically, based on the conglomeration and decentralization characteristics of the positive and negative samples, we present a new type of support vector machine called Clustered Grouping Support Vector Machine or GC-SVM. After clustering training, the samples are divided into different groups, then a series...
In this paper, first, the AFS fuzzy logic clustering algorithm has been studied further. Then, based on the fuzzy implicator, an algorithm of selecting optimal subsets of relevant features for fuzzy clustering is proposed. Thus a new AFS fuzzy logic clustering algorithm is achieved. Finally, the proposed clustering algorithm is applied to the well known real-world wine data set. Experimental results...
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