Titlebook: Data Mining and Big Data; Third International Ying Tan,Yuhui Shi,Qirong Tang Conference proceedings 2018 Springer International Publishing

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https://doi.org/10.1007/978-1-349-26050-8nner in three production sectors that are of high risk: the electric power production sector, cement production and oil refining sector, so the main objective is focused on identifying the influential variables and the regression model that best explains the accident in each of these sectors and per

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孵卵器

Justice in a Country with an Irregular Warfeatures, estimation of distribution algorithms, and the bootstrapping algorithm. Likewise, the features selection is highlighted as the most representative task in the elimination of noise, in order to improve the quality of the dataset. Subsequently, each algorithm is described in order that the r

ERUPT

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Alessio Vinci,Mark H. Hanna,Alessio Pigazziations of the nodes of a network in a low dimensional vector space, so that the network structural information and properties are maximally preserved. In this paper, we present a review of the latest developments on this topic. We compare modern methods based on matrix factorization, including GraRe

Onerous

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Topographic Anatomy in Proctologic Surgeryplicit ratings is not always consistent, because many factors may affect the user’s final evaluation on an item, including commercial advertising and a friend’s recommendation. Therefore, mining the reliable ratings of user is critical to further improve the performance of the recommender system. In

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King William’s War and Queen Anne’s War in this technique, as items preferred by similar users are to be recommended. Although various similarity measures have been developed, they usually treat each pair of user ratings separately or simply combine additional heuristic information with traditional similarity measures. This paper address