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Big data = 8th CCF Conference, BigDa...

CCF BigData (Conference) (2020 :)

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Big data = 8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020 : revised selected papers /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data/ edited by Hong Mei ... [et al.].
Reminder of title:	8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020 : revised selected papers /
remainder title:	BigData 2020
other author:	Mei, Hong.
corporate name:	CCF BigData (Conference)
Published:	Singapore :Springer Singapore : : 2021.,
Description:	xviii, 243 p. :ill., digital ;24 cm.
[NT 15003449]:	A 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.
Contained By:	Springer Nature eBook
Subject:	Big data - Congresses. -
Online resource:	https://doi.org/10.1007/978-981-16-0705-9
ISBN:	9789811607059

Big data = 8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020 : revised selected papers /
Big data8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020 : revised selected papers /[electronic resource] :BigData 2020edited by Hong Mei ... [et al.]. - Singapore :Springer Singapore :2021. - xviii, 243 p. :ill., digital ;24 cm. - Communications in computer and information science,13201865-0929 ;. - Communications in computer and information science ;1320..

A 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.

This 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.

ISBN: 9789811607059

Standard No.: 10.1007/978-981-16-0705-9doiSubjects--Topical Terms:

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45 / C34 2020

Dewey Class. No.: 005.7

Big data = 8th CCF Conference, BigData 2020, Chongqing, China, October 22-24, 2020 : revised selected papers /
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505 0 $a A 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 $a This 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.
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