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Titlebook: Big Data – BigData 2019; 8th International Co Keke Chen,Sangeetha Seshadri,Liang-Jie Zhang Conference proceedings 2019 Springer Nature Swit

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21#
發(fā)表于 2025-3-25 04:51:41 | 只看該作者
22#
發(fā)表于 2025-3-25 07:30:56 | 只看該作者
Conference proceedings 20199.. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big Data Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Sea
23#
發(fā)表于 2025-3-25 13:44:17 | 只看該作者
Conference proceedings 2019d Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society..
24#
發(fā)表于 2025-3-25 18:25:36 | 只看該作者
0302-9743 Models and Algorithms; Big Data Architectures; Big Data Management; Big Data Protection, Integrity and Privacy; Security Applications of Big Data; Big Data Search and Mining; Big Data for Enterprise, Government and Society..978-3-030-23550-5978-3-030-23551-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
25#
發(fā)表于 2025-3-25 20:54:54 | 只看該作者
Ion Beam Induced Gene Transfer,duce technology to construct, store and query several sub-dwarfs in parallel. Experiments show that SPD-Cube not only realizes highly compressed storage of data, but also realizes efficient query by combining Map/Reduce distributed parallel architecture.
26#
發(fā)表于 2025-3-26 00:32:31 | 只看該作者
Ion Beam Mutation Breeding of Crops,e the vertices correspond to dealers and edges correspond to sales transactions. In step two, specific type of cycles are removed from each fraudulent community, which were identified in step one, to detect the illegitimate transactions. We used . framework for implementing this technique.
27#
發(fā)表于 2025-3-26 05:29:07 | 只看該作者
28#
發(fā)表于 2025-3-26 11:48:43 | 只看該作者
Multi-step Short Term Traffic Flow Forecasting Using Temporal and Spatial Data,riate manner by relying on the historical temporal data of a particular sensor as well as in a multivariate manner by considering a neighborhood of three closely located sensors. Multivariate forecasters generally improve upon their univariate counterparts.
29#
發(fā)表于 2025-3-26 13:29:59 | 只看該作者
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發(fā)表于 2025-3-26 20:08:29 | 只看該作者
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