By Kratochvíl Jan, Mirka Miller, Dalibor Froncek
This e-book constitutes the completely refereed post-workshop complaints of the twenty fifth overseas Workshop on Combinatorial Algorithms, IWOCA 2014, held in Duluth, MN, united states, in October 2014. The 32 revised complete papers awarded have been conscientiously reviewed and chosen from a complete of sixty nine submissions. The papers concentrate on themes comparable to Algorithms and information buildings, Combinatorial Enumeration, Combinatorial Optimization, Complexity conception (Structural and Computational), Computational Biology, Databases (Security, Compression and knowledge Retrieval), Decompositions and Combinatorial Designs, Discrete and Computational Geometry, in addition to Graph Drawing and Graph conception. IWOCA is a each year discussion board for researchers in designing algorithms box to improve imagination of intersection among arithmetic and machine technology. this is often the 1st time this convention is being held in U.S.
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Additional resources for Combinatorial Algorithms: 25th International Workshop, IWOCA 2014, Duluth, MN, USA, October 15-17, 2014, Revised Selected Papers
In summary, unlike previously proposed privacy measures, our novel information theoretic privacy measure (CAE) has the ability to capture approximate compromise; it can also be applied to any SDC technique, as long as the probabilities of diﬀerent conﬁdential values can be estimated. In this paper we considered the most common SDC techniques and showed how CAE can be used to evaluate the privacy they oﬀer, and how the privacy relates to both utility and supplementary knowledge. References 1. : Security-control methods for statistical databases: a comparative study.
A graph-theoretic approach for inparalog detection. BMC Bioinform. 13(S–19), S16 (2012) 10. : OMG! orthologs in multiple genomes – competing graph-theoretical formulations. -F. ) WABI 2011. LNCS, vol. 6833, pp. 364–375. Springer, Heidelberg (2011) 11. : Linear degree extractors and the inapproximability of max clique and chromatic number. Theory Comput. au Abstract. It is well recognised that data mining and statistical analysis pose a serious treat to privacy. This is true for ﬁnancial, medical, criminal and marketing research.
Springer, Heidelberg (2007) 11. : An optimization problem in statistical databases. SIAM J. Discrete Math. 13(3), 46–353 (2000) 12. : Usability of compromise-free statistical databases for range sum queries. In: 9th International Conference on Scientiﬁc and Statistical Database Management, pp. 144–154. IEEE Computer Society (1997) 13. : Security, privacy, and trust in modern data management. , Jonker, W. ) Privacy-Preserving Data Mining, pp. 151–165. Springer, Heidelberg (2007) 34 M. Alfalayleh and L.