Titlebook: Computational Collective Intelligence. Technologies and Applications; Second International Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh Nguyen

deduce

书目名称Computational Collective Intelligence. Technologies and Applications影响因子(影响力)




书目名称Computational Collective Intelligence. Technologies and Applications影响因子(影响力)学科排名




书目名称Computational Collective Intelligence. Technologies and Applications网络公开度




书目名称Computational Collective Intelligence. Technologies and Applications网络公开度学科排名




书目名称Computational Collective Intelligence. Technologies and Applications被引频次




书目名称Computational Collective Intelligence. Technologies and Applications被引频次学科排名




书目名称Computational Collective Intelligence. Technologies and Applications年度引用




书目名称Computational Collective Intelligence. Technologies and Applications年度引用学科排名




书目名称Computational Collective Intelligence. Technologies and Applications读者反馈




书目名称Computational Collective Intelligence. Technologies and Applications读者反馈学科排名

四海为家的人

Formalizing Spark Applications with MSVLed by combination of network structure information and class labels assigned to nodes. The influence of various features on classification performance has also been studied in the paper. The experiments based on real-world data have shown that the proposed method provides with features leading to significant improvement of classification accuracy.

sed-rate

Structured Peer-to-Peer Systemsd preferences and then provide for suitable products or services. Recommender systems provide one way of circumventing this problem. This paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of customers and provide tailored suggestions.

dysphagia

Jeng-Shyang Pan,Shyi-Ming Chen,Ngoc Thanh NguyenUnique visibility.State-of-the-art research.Fast-track conference proceedings

grenade

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232188.jpg

权宜之计

A Method of Label-Dependent Feature Extraction in Social Networksed by combination of network structure information and class labels assigned to nodes. The influence of various features on classification performance has also been studied in the paper. The experiments based on real-world data have shown that the proposed method provides with features leading to significant improvement of classification accuracy.

权宜之计

Using Genetic Algorithms for Personalized Recommendationd preferences and then provide for suitable products or services. Recommender systems provide one way of circumventing this problem. This paper describes a new recommender system, which employs a genetic algorithm to learn personal preferences of customers and provide tailored suggestions.

Agnosia

Lecture Notes in Computer Science, the influence between two nodes does not only depend on the their distance but also on the numbers of pathways of different lengths. Second, the new model is more flexible than .-club and can provide middle results between .-club and (. + 1)-club. We propose a branch-and-bound algorithm for findin

讨厌

Formalizing Spark Applications with MSVLed by combination of network structure information and class labels assigned to nodes. The influence of various features on classification performance has also been studied in the paper. The experiments based on real-world data have shown that the proposed method provides with features leading to si

colony

Zhuo Cheng,Haitao Zhang,Yasuo Tan,Yuto Limn a social network receive, provide and pass lots of information. We often observe that there are a group of people who have high influence to other people. We call these high influence people opinion leaders. Thus, it is important and useful to identify opinion leaders in a social network. In Web 2