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Titlebook: Big Data Analytics; 8th International Co Ladjel Bellatreche,Vikram Goyal,P. Krishna Reddy Conference proceedings 2020 Springer Nature Switz

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發(fā)表于 2025-3-27 00:54:51 | 只看該作者
0302-9743 cience architectures; big data analytics in healthcare; information interchange of Web data resources; and business analytics..978-3-030-66664-4978-3-030-66665-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/185593.jpg
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發(fā)表于 2025-3-27 16:01:17 | 只看該作者
Big Data Analytics978-3-030-66665-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
36#
發(fā)表于 2025-3-27 21:24:38 | 只看該作者
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發(fā)表于 2025-3-28 01:55:28 | 只看該作者
Intraoperative Neurophysiological Monitoringlexibility and system complexity. To overcome these limits, the idea of data lakes has been proposed. The data lake is not a replacement for data warehouses. Moreover, both solutions have their application areas. So it is necessary to integrate both approaches into a common architecture. This paper
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發(fā)表于 2025-3-28 04:13:32 | 只看該作者
Anatomy and Physiology of Peripheral Nervese of its good characteristics such as being able to manage a huge volume of data, no backpropagation, faster learning speed, maximum level of data abstraction etc. Another distinct feature of Multi-layer ELM is that it can be able to make the input features linearly separable by mapping them non-lin
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發(fā)表于 2025-3-28 08:27:04 | 只看該作者
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https://doi.org/10.1007/978-1-59745-018-8ternet-driven Context-Aware Recommender Systems (CARS) have been used by big brands like Amazon, Uber and Walmart for promoting sales and boosting revenues. This paper argues about the relevance of contextual information for any recommender system. A smartphone-based CARS framework was proposed to r
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