Titlebook: Data Quality and Trust in Big Data; 5th International Wo Hakim Hacid,Quan Z. Sheng,Rui Zhou Conference proceedings 2019 Springer Nature Swi

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Cristiano Paixão,Massimo Meccarelliace of some multimodal and high-dimensional problems, the algorithm is easy to fall into the local optimum. In order to avoid this phenomenon, this paper proposed an improved firefly algorithm with proportional adjustment strategy for alpha and beta. Thirteen well-known benchmark functions are used

抛射物

James Douglas,Eleanor Atkins,Hamish Cliftdepend on efficiency and efficacy of (semi-)automated approaches that are determined by understanding the problem associated with each data defect. Despite the small number of works that describe temporal data defects regarding to accuracy, completeness and consistency, there is a significant hetero

majestic

https://doi.org/10.1007/978-3-319-16175-4 techniques, such as CNN/RNN, over massive chunks of data objects. These services require novel devices with configurable high throughput in I/O (i.e., data-based model training), and uniquely large computation capability (i.e., large number of convolutional operations). In this paper, we present ou

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