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Download e-book for iPad: Computing and Intelligent Systems: International Conference, by Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.),

By Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.), Yanwen Wu (eds.)

ISBN-10: 3642240909

ISBN-13: 9783642240904

This six-volume-set (CCIS 231, 232, 233, 234, 235, 236) constitutes the refereed complaints of the foreign convention on Computing, info and regulate, ICCIC 2011, held in Wuhan, China, in September 2011. The papers are equipped in volumes on cutting edge Computing and knowledge (CCIS 231 and 232), volumes on Computing and clever structures (CCIS 233 and 234), and in volumes on info and administration Engineering (CCIS 235 and 236).

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Read or Download Computing and Intelligent Systems: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part IV PDF

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Extra info for Computing and Intelligent Systems: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part IV

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Shan et al. Operation I: X (u ) = ∑Y( ti ) (1) ti (u ) Operation O: Y (ti ) = ∑X() (2) u u ( ti ) In operation I, ti(u) stands for all the tagging behavior performed by user u and EC of the given user u (X(u)) can be obtained by sum up all the EC of tagging behaviors performed by u. In the same way, EC of the given tagging behavior ti (Y(ti)) can be got by sum up all the EC of tagging users as shown in operation O where u(ti) stands for all the users performing the ti tagging behavior. Similarly to PageRank[10] and HITS[11], the algorithm initializes all the elements in the bipartite model with the same EC.

If I is a candidate database with a series of integrity constraints∑ in database D, there are not I ⊂ I*, I*╞∑ and I* ⊆ I. If these conditions exist, there are tuples t ∈ I* and t ∉ I; since I*╞∑, so tuple t’ who is conflict with tuple t in I*, that is ,t’ ∉ I and t’ ∉ I*, this obtains (I,I’) ⊃ (I,I *), I is not a candidate database according to definition 3. △ △ 3 Aggregation Query Since tuple values in uncertain databases are certain, aggregation queries return different results for every candidate database, but don’t return certain results.

More experiments using other datasets need to do for fully evaluating the method. Meanwhile, several problems including the ETB threshold selection strategy for discovering the exemplary tagging behaviors and exemplary tagging users will be studied in the future. Acknowledgment. The work was partly supported by the Fundamental Research Funds for the Central Universities and National Nature Science Foundation of China (Grant No. 70972058 and 60873180). : The complex dynamics of collaborative tagging.

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Computing and Intelligent Systems: International Conference, ICCIC 2011, Wuhan, China, September 17-18, 2011. Proceedings, Part IV by Yang Bo, Li Yingfang, Li Junsheng, Sun Jianhong (auth.), Yanwen Wu (eds.)


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