Advanced Data Mining and Applications: 8th International by Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik

By Dell Zhang, Karl Prior, Mark Levene, Robert Mao, Diederik van Liere (auth.), Shuigeng Zhou, Songmao Zhang, George Karypis (eds.)

This booklet constitutes the refereed lawsuits of the eighth foreign convention on complex info Mining and purposes, ADMA 2012, held in Nanjing, China, in December 2012. The 32 typical papers and 32 brief papers awarded during this quantity have been conscientiously reviewed and chosen from 168 submissions. they're geared up in topical sections named: social media mining; clustering; computer studying: algorithms and functions; type; prediction, regression and popularity; optimization and approximation; mining time sequence and streaming facts; net mining and semantic research; information mining purposes; seek and retrieval; info suggestion and hiding; outlier detection; subject modeling; and knowledge dice computing.

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Additional info for Advanced Data Mining and Applications: 8th International Conference, ADMA 2012, Nanjing, China, December 15-18, 2012. Proceedings

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Moreover, if the number of negation words is odd, the sentiment score sentiscore will be decreased to −sentiscore/2 because the tone of the sentence can be weakened by the negation structure to certain extend. For example, ”not happy” is not stronger than ”sad” on expressing the negative emotions. In Algorithm 1, if the sum sentiscore > 0, then this microblog is regarded as positive. If the sum sentiscore < 0, the microblog is regarded as negative. Otherwise, it is neutral. The Algorithm 1 is easy to understand, and its performance mainly depends on the quality of the sentiment lexicon.

An inference network approach to image retrieval. In: Image and Video Retrieval, pp. 42–50 (2005) 7. : Ranking Answers by Hierarchical Topic Models. , Ali, M. ) IEA/AIE 2009. LNCS, vol. 5579, pp. 103–112. Springer, Heidelberg (2009) 8. : A new approach to cross-modal multimedia retrieval. In: ACM Multimedia (MM), pp. 251–260 (2010) 9. : Bridging the gap: Query by semantic example. IEEE Transactions on Multimedia 9(5), 923–938 (2007) 26 Y. Cong et al. 10. : A performance evaluation of local descriptors.

However, in the user graphs, the relations do not present the dynamics between users according to their common topics, for instance, although an existence of a friendship between users, we cannot extract their common interesting information. That’s why the study of micro-blogging content attracts much attention in recent years. We think that the relation between users, as defined in the classic methods such as [3], [4], is not enough when we look for users groups related to the same topics in order to recommend them some information.

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