Titlebook: Data Management and Analysis; Case Studies in Educ Reda Alhajj,Mohammad Moshirpour,Behrouz Far Book 2020 Springer Nature Switzerland AG 202

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biopsy

Binary Thermal Exchange Optimization for Feature Selection,ired algorithms (i.e., Genetic Algorithm (GA), Particle Swarm Optimizer (PSO), and Grey Wolf Optimizer (GWO)) as search strategies, were used for comparison purposes, and the results demonstrate the effectiveness of the proposed approach in solving different feature selection tasks.

Hla461

Levent Sennaroglu,Münir Demir Bajindingly, big data management has emerged for storing, managing, and extracting valuable knowledge from collected data. Due to the explosion of the amount of data, developing tools for accurate and timely integration of inherently heterogeneous data has become a critical need. In the first part of thi

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Francis A. Spelman,Josef M. Millerinto smaller partitions, tackling each one in parallel, and then combining the partial solutions, the parallel algorithms can cluster large amounts of data much more efficiently. In specific scenarios, the dataset is inherently distributed over multiple nodes, making it impossible and even infeasibl

MAUVE

Selective Stimulation of Peripheral Axonsne learning method. The dynamic arrival and due date orders in SC were divided into three types according to the profit that the SC can obtain. Two echelons of the SC, in which a supplier that cooperate with other firms in SC will receive orders in and out of the SC, are employed in this study. Capt

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https://doi.org/10.1007/978-1-4419-6117-4 Recognizing faces in profile view has been shown to perform poorly compared to using frontal view of faces. Indeed, previous approaches failed to capture distinct features of a profile face compared to a frontal one. Approaches to enhance face recognition on profile faces have been recently propose