Titlebook: Discovery Science; 15th International C Jean-Gabriel Ganascia,Philippe Lenca,Jean-Marc Pet Conference proceedings 2012 Springer-Verlag Berl

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Fast Approximation Algorithm for the 1-Median Problem node ., our algorithm repeatedly finds a better node by making use of a shortest path tree of the previous node. We empirically show that our algorithm runs much faster and has better approximation ratio than a sophisticated existing method called DTZ. We demonstrate the effectiveness of our algorithm through experiments.

深淵

Jean-Gabriel Ganascia,Philippe Lenca,Jean-Marc PetUp-to-date results.Fast-track conference proceedings.State-of-the-art research

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解凍

https://doi.org/10.1007/978-3-642-33492-4XML mining; autonomous exploration; data mining; huge network; reinforcement learning; algorithm analysis

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Cpr951

IVORY

Das Verfahren der Gew?sserstrukturkartierungdescription length principle, information theory, and statistical models have been introduced. We show the respective advantages and disadvantages of these approaches and their connections, and illustrate their usefulness on real life data. After this overview we move from itemsets to more complex p

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上漲

Erich Staudt,Marcus Kottmann,Richard Merker fast approximation of the Kullback-Leibler (KL) divergence as a criterion to merge the mixture components. The proposed methodology is used in mixture modelling of two chromosomal aberration datasets showing that model selection is efficient and effective.

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