Download Advances in Multimedia, Software Engineering and Computing by Hanxiang Wu (auth.), David Jin, Sally Lin (eds.) PDF

By Hanxiang Wu (auth.), David Jin, Sally Lin (eds.)

ISBN-10: 3642259855

ISBN-13: 9783642259852

ISBN-10: 3642259863

ISBN-13: 9783642259869

MSEC2011 is an built-in convention concentrating its concentration upon Multimedia, software program Engineering, Computing and schooling. within the continuing, you could study even more wisdom approximately Multimedia, software program Engineering ,Computing and schooling of researchers everywhere in the global. the most position of the continuing is for use as an trade pillar for researchers who're operating within the pointed out box. so that it will meet excessive common of Springer, AISC sequence ,the association committee has made their efforts to do the next issues. to begin with, bad caliber paper has been refused after reviewing direction via nameless referee specialists. Secondly, periodically assessment conferences were held round the reviewers approximately 5 occasions for replacing reviewing feedback. eventually, the convention association had a number of initial classes sooner than the convention. via efforts of other humans and departments, the convention might be winning and fruitful.

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Additional resources for Advances in Multimedia, Software Engineering and Computing Vol.2: Proceedings of the 2011 MSEC International Conference on Multimedia, Software Engineering and Computing, November 26–27, Wuhan, China

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Association rule hiding. IEEE Trans. on Knowledge and Data Engineering 16, 434–447 (2004) 4. : Privacy preserving frequent itemset mining. In: Proc. of IEEE ICDM Workshop on Privacy, Security and Data Mining: Computer Society, pp. 43– 54 (2002) 5. : Algorithms for ba1ancing privacy and knowledge discovery in association rule mining. In: Proc. of the 7th Int’l Database Engineering and Application Symposium, pp. 54–64. IEEE Computer Society, Hong Kong (2003) 6. : Protecting sensitive knowledge by data sanitation.

For example, Jena [3] and Pellet [4] can process triples not more than 10 millions in single computer; BigOWLIM can process triples more than 100 millions in single computer with bad performance. Cloud computing [5] is a good technology to process Big Data, which has powerful computing ability. Based on analysis of these problems, a new algorithm is proposed in this paper, semantic technology and cloud computing are integrated to reason and query Big Data. This paper is organized as follows. Section 2 talks about relative research.

Jin and S. ): Advances in MSEC Vol. 2, AISC 129, pp. 17–23. com © Springer-Verlag Berlin Heidelberg 2011 (5) 18 H. Yang, J. Wu, and J. Zhang [a, a] + [b, b] = [a + b, a + b] [a, a] × [b, b] = [min(ab, ab, ab, ab], max(ab, ab, ab, ab] ⎡1 1⎤ [a, a] /[b, b] = [a, a] × ⎢ , ⎥, 0 ∉ [b, b] ⎣b b ⎦ (6) (7) (8) especially, ⎡1 1⎤ 1 = ⎢ , ⎥ , 0 ∉ [ a, a ] [a, a ] ⎣ a a ⎦ interval vector X = ( X 1 , X 2 , ", X n ) T ,thereinto (9) X i is interval number; interval matrix ⎡ A11 ⎢A A = ⎢ 21 ⎢" ⎢ ⎣ Am1 A12 A22 " Am 2 A1n ⎤ " A2 n ⎥⎥ " "⎥ ⎥ " Amn ⎦ " (10) Aij is interval number.

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