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Big Data 10th CCF Conference, BigData 2022, Chengdu, China, November 18-20, 2022, Proceedings / edited by Tianrui Li, Rui Mao, Guoyin Wang, Fei Teng, Lei Zhang, Li Wang, Laizhong Cui, Jie Hu

Contributor(s): Li, Tianrui, editor literario | Mao, Rui, editor literario | Wang, Guoyin, editor literario | Teng, Fei, editor literario | Zhang, Lei, editor literario | Wang, Li, editor literario | Cui, Laizhong, editor literario | Hu, Jie, editor literario
Series: (Communications in Computer and Information Science, 1865-0937; 1709).Publisher: Singapore : Springer International Publishing, 2022Edition: 1st edition 2022.Description: 1 recurso en línea (XI, 139 páginas) : 51 ilustraciones, 43 ilustraciones a color.ISBN: 9789811983313.Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Searching Similar Trajectories Based on Shape -- Unsupervised Discovery of Disentangled Interpretable Directions for Layer-wise GAN -- ASNN: Accelerated Searching for Natural Neighbors -- ASNN: Accelerated Searching for Natural Neighbors -- ASNN: Accelerated Searching for Natural Neighbors -- A Data-to-Text Generation Model with Deduplicated Content Planning Searching Similar Trajectories Based on Shape -- Clustering-Enhanced Knowledge Graph Embedding -- FCI:Feature Cross and User Interest Network.
Summary: This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, China, in November 2022. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Acceso electrónico eBook.25122745
Total holds: 0

Searching Similar Trajectories Based on Shape -- Unsupervised Discovery of Disentangled Interpretable Directions for Layer-wise GAN -- ASNN: Accelerated Searching for Natural Neighbors -- ASNN: Accelerated Searching for Natural Neighbors -- ASNN: Accelerated Searching for Natural Neighbors -- A Data-to-Text Generation Model with Deduplicated Content Planning Searching Similar Trajectories Based on Shape -- Clustering-Enhanced Knowledge Graph Embedding -- FCI:Feature Cross and User Interest Network.

This book constitutes the refereed proceedings of the 10th CCF Conference on BigData 2022, which took place in Chengdu, China, in November 2022. The 8 full papers presented in this volume were carefully reviewed and selected from 28 submissions. The topics of accepted papers include theories and methods of data science, algorithms and applications of big data.

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