By Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.)
This publication constitutes the refereed complaints of the eighth overseas convention on energetic Media expertise, AMT 2012, held in Macau, China, in December 2012. The sixty five revised complete papers have been rigorously reviewed and chosen from a various submissions. The papers are geared up in topical sections on know-how multi-agent platforms, facts mining, ontology mining, net reasoning, social functions of lively media, human-centered computing, personalization and variation, shrewdpermanent electronic artwork and e-learning.
Read or Download Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings PDF
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Additional info for Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings
According to the description mentioned above, the user, topic and opinion are interrelated with each other in blogspace. Hence, the blog community, topic network and opinion network are extracted from the blogspace to analyze the context of topic propagation. The blog community is composed of users with the similar interest. The topic network is composed of topics with diﬀerent granularities and the evolutionary relationship between topics. The opinion network is composed of opinions and interaction relationships among users.
Although the virtual network breaks some barriers of the physical world, the human nature formed in the physical world still has a great impact on the virtual network. The behavior model of a blog user needs the further research. The shortage of word processing is going to be improved in the future. We will pay more attention to the latest researches on the model of the social contact in blogspace. Hot Topic Detection in News Blogs from the Perspective of W2T 31 Acknowledgments. The study was supported by Beijing Natural Science Foundation (4102007) and National Natural Science Foundation of China (60905027).
To extract the final partition from ooutput of fuzzy k-means algorrithm as consensus function, each data point is assignedd to the most membership valuee. As it is inferred from the Fig. 4, the best ratio of selection of the stable clusterrs is 60% and the best option forr consensus function is CSPA for Iris dataset. Fig. 5. The horizontal axis staands for the rate of stable clusters that are selected. The verttical axis stands for the averaged NM MI values for all ten datasets. Fig. 4 also makes it cleear that the best ratio of selection of the stable clusterrs is 30% and the best option for consensus function is Single-Linkage for Ionosphhere dataset.
Active Media Technology: 8th International Conference, AMT 2012, Macau, China, December 4-7, 2012. Proceedings by Yin-Fu Huang, Shih-Hao Wang (auth.), Runhe Huang, Ali A. Ghorbani, Gabriella Pasi, Takahira Yamaguchi, Neil Y. Yen, Beijing Jin (eds.)