Advances in Knowledge Discovery and Management: Volume 6 by Fabrice Guillet, Bruno Pinaud, Gilles Venturini

By Fabrice Guillet, Bruno Pinaud, Gilles Venturini

This e-book provides a set of consultant and novel paintings within the box of knowledge mining, wisdom discovery, clustering and class, in response to multiplied and transformed types of a variety of the simplest papers initially offered in French on the EGC 2014 and EGC 2015 meetings held in Rennes (France) in January 2014 and Luxembourg in January 2015. The e-book is in 3 components: the 1st 4 chapters speak about optimization concerns in information mining. the second one half explores particular caliber measures, dissimilarities and ultrametrics. the ultimate chapters concentrate on semantics, ontologies and social networks.
Written for PhD and MSc scholars, in addition to researchers operating within the box, it addresses either theoretical and useful facets of information discovery and management.

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Efficient sort-based skyline evaluation. ACM Transactions on Database Systems, 33(4), 1–49. Bøgh, K. , & Magnani, M. (2013). Efficient GPU-based skyline computation. In Proceedings of the Ninth International Workshop on Data Management on New Hardware, DaMoN 2013 (pp. 5:1–5:6). New York: ACM. , & Stocker, K. (2001). The skyline operator. In Proceedings of ICDE 2001 (pp. 421–430). , & Zhang, Z. (2006a). Finding k-dominant skylines in high dimensional space. In Proceedings of SIGMOD 2006 (pp. 503–514).

1. Experiments on substantially larger datasets are necessary to evaluate the performance of our approach on real data streams and will be the subject of future work. Furthermore, we will also consider the possibility of solving our optimization problem in two steps : a first convex optimization step using convex approximation of the complete criterion and a second non convex optimization step that could be solved by the method of Composite Minimization (Nesterov 2013). , & Moulines, E. (2013).

Selecting stars: The k most representative skyline operator. In Proceedings of the ICDE 2007 (pp. 86–95). 38 H. Jaudoin et al. , & He, X. (2011). A survey of outlier detection methodologies and their applications. In Proceedings of Third International Conference Artificial Intelligence and Computational Intelligence, Part I, AICI 2011, Taiyuan, China, September 24–25, 2011 (pp. 380–387). , & Smith, E. (1997). On typicality and vagueness. Cognition, 64, 189–206. , & Seeger, B. (2005). Progressive skyline computation in database systems.

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