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024 7 _a10.1007/978-981-16-0705-9
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072 7 _aCOM004000
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245 1 0 _aBig Data
_h[electronic resource] :
_b8th CCF Conference, BigData 2020, Chongqing, China, October 22–24, 2020, Revised Selected Papers /
_cedited by Hong Mei, Weiguo Zhang, Wenfei Fan, Zili Zhang, Yihua Huang, Jiajun Bu, Yang Gao, Li Wang.
250 _a1st ed. 2021.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2021.
300 _aXVIII, 243 p. 98 illus., 85 illus. in color.
_bonline resource.
336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1320
505 0 _aA Short Text Classification Model Based on Cross-Layer Connected Gated Recurrent Unit Capsule Network -- Image Compressed Sensing using Neural Architecture Search -- Discovery of Sparse Formula Based on Elastic Network Method and its Application in Identification of Turbulent Boundary Layer Wall Function -- Rotation-Dpeak: Improving Density Peaks Selection for Imbalanced Data -- Introducing MDPSD, a Multimodal Dataset for Psychological Stress Detection -- Small-Scale Data Classification Based Deep Forest -- An Answer Sorting Method Combining Multiple Neural Networks and Attentional Mechanisms -- Optimal Subspace Analysis based on Information-Entropy Increment -- Link Prediction of Attention Flow Network Based on Maximum Entropy Model -- Graph Representation Learning using Attention Network -- Food Pairing Based on Generative Adversarial Networks -- Comparisons of Deep Neural Networks in Multi-Label Classification for Chinese Recipes -- Improving Word Alignment With Contextualized Embedding and Bilingual Dictionary -- Hypernetwork Model Based on Logistic Regression -- Multi Dimensional Evaluation of Middle School Students’ Physical and Mental Quality and Intelligent Recommendation of Exercise Programs Based on Big Data Analysis -- Diversity-Aware Top-N Recommendation: A Deep Reinforcement Learning way.
520 _aThis book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. .
650 0 _aArtificial intelligence.
650 0 _aComputer engineering.
650 0 _aComputer networks .
650 0 _aSocial sciences
_xData processing.
650 0 _aEducation
_xData processing.
650 0 _aComputer science
_xMathematics.
650 0 _aImage processing
_xDigital techniques.
650 0 _aComputer vision.
650 1 4 _aArtificial Intelligence.
650 2 4 _aComputer Engineering and Networks.
650 2 4 _aComputer Application in Social and Behavioral Sciences.
650 2 4 _aComputers and Education.
650 2 4 _aMathematics of Computing.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
700 1 _aMei, Hong.
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700 1 _aZhang, Weiguo.
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700 1 _aFan, Wenfei.
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700 1 _aZhang, Zili.
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700 1 _aHuang, Yihua.
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700 1 _aBu, Jiajun.
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700 1 _aGao, Yang.
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700 1 _aWang, Li.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aCommunications in Computer and Information Science,
_x1865-0937 ;
_v1320
856 4 0 _uhttps://doi.org/10.1007/978-981-16-0705-9
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