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Future Information Technology: 6th International Conference, by Yujing Liu, Bin Dai, Peidong Zhu, Jinshu Su (auth.), James

By Yujing Liu, Bin Dai, Peidong Zhu, Jinshu Su (auth.), James J. Park, Laurence T. Yang, Changhoon Lee (eds.)

This two-volume-set constitutes the refereed complaints of the sixth foreign convention on destiny details expertise, FutureTech 2011, held in Crete, Greece, in June 2011. The 123 revised complete papers offered in either volumes have been rigorously reviewed and chosen from a variety of submissions. The papers are prepared in topical sections on destiny details know-how, IT carrier and cloud computing; social computing, community, and companies; forensics for destiny new release verbal exchange environments; clever transportation structures and functions; multimedia and semantic applied sciences; info technological know-how and technology.

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Additional resources for Future Information Technology: 6th International Conference, FutureTech 2011, Loutraki, Greece, June 28-30, 2011, Proceedings, Part I

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Generating Hierarchical Summaries for Web Searches. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 457–458 (2003) 5. : Semi-Automatic Engineering of Ontologies from Text. In: Proceedings of the 12th International Conference on Sw Engineering and Knowledge Engineering, SEKE 2000 (2000) 6. : Snowball: Extracting Relations from Large Plain-Text Collections. In: Proceedings of the ACM International Conference on Digital Libraries, DL 2000 (2000) 7.

In general there are two categories of clustering: non-hierarchical clustering and hierarchical clustering. Hierarchical clustering algorithms are preferable for detailed data analysis because the output groups of non-hierarchical clustering have a flat structure. In clustering methods, an important point is how to define concept. These researches can be distinguished to groups as the defining schemes for concepts. One creates the system of classification using hierarchical clustering that treats concept as a set of terms.

On the other hand, for prefix hijacking defense, it is effective to convince the most critical ASes to stick to the origin route which is announced by victim. The most critical ASes are higher up in the routing hierarchy and located on the dense core of the Internet. The findings of our paper explain why there is a tight relation between the impact of prefix hijacking and AS topology. Such a deep understanding makes it easier to evaluate the overall damage once an attack occurs, and to provide guidance on how to improve the Internet’s resilience by applying impact-aware defense against attacks.

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