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Big Data

9th CCF Conference, BigData 2021, Guangzhou, China, January 8–10, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Xiangke Liao

    1. National University of Defense Technology, Changsha, China

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  2. Wei Zhao

    1. Shenzhen University of Technology, Chinese Academy of Sciences, Shenzhen, China

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  3. Enhong Chen

    1. University of Science and Technology of China, Hefei, China

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  4. Nong Xiao

    1. Sun Yat-sen University, Guangzhou, China

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  5. Li Wang

    1. Taiyuan University of Technology, Taiyuan, China

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  6. Yang Gao

    1. Nanjing University, Nanjing, China

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  7. Yinghuan Shi

    1. Nanjing University, Nanjing, China

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  8. Changdong Wang

    1. Sun Yat-sen University, Guangzhou, China

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  9. Dan Huang

    1. Sun Yat-sen University, Guangzhou, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1496)

Included in the following conference series:

Conference proceedings info: BigData 2021.

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Table of contents (21 papers)

  1. Front Matter

    Pages i-xvii
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  2. Big Data Analysis and Applications

    1. Front Matter

      Pages 1-1
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    2. In-Depth Integration and Exploration Practice of “Rain Classroom” in the Teaching of Big Data Courses for Medical Colleges and Universities

      • Mingyou Liu, Yingxue Zhu, Li Li
      Pages 3-17

    3. Research on Hadoop Task Scheduling Problem Based on Hybrid Whale Optimization-Genetic Algorithm

      • Jun Xu, JunFeng Peng
      Pages 18-24

    4. Towards Indonesian Phrase Extraction: Framework and Corpus

      • Xiaotian Lin, Nankai Lin, Lixian Xiao, Shengyi Jiang, Xinying Qiu
      Pages 25-37

    5. A Review of Data Fusion Techniques for Government Big Data

      • Bo Zhang, Yunxiang Yang, Jing Guo, Chenshen Liu, Junjie Liu, Siyuan Chen et al.
      Pages 38-55

    6. Data Exploration and Mining on Traditional Chinese Medicine

      • Xueyan Li, Chuitian Rong, Zhengyi Chai, Huabo Sun
      Pages 56-70

    7. Comparative Analysis of Hadoop MapReduce and Spark Based on People’s Livelihood Appeal Data

      • Lixin Liang, Heng Zhao, Yongan Shen
      Pages 71-91

  3. Big Data and Deep Learning

    1. Front Matter

      Pages 93-93
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    2. Neural Architecture Search as Self-assessor in Semi-supervised Learning

      • Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Jie Liu, Jing Xiao
      Pages 95-107

    3. Automatic Classification of Medicinal Plants of Leaf Images Based on Convolutional Neural Network

      • Mengisti Berihu, Juan Fang, Shuaibing Lu
      Pages 108-116

    4. Novelty Detection-Based Automated Anomaly Identification via Optimized Deep Generative Model

      • Lianye Liu, Jinping Liu, Juanjuan Wu, Jiaming Zhou, Meiling Cai
      Pages 117-134

    5. A Deep Learning-Based Herb Pair Discovering Approach

      • Qi Xue, Bo Gao, Jing Wen, Yan Zhu, Xiangfu Meng
      Pages 135-149

    6. Attention-Based Iterated Dilated Convolutional Neural Networks for Joint Intent Classification and Slot Filling

      • Junfeng Zhao, Shiqun Yin, Wenqiang Xu
      Pages 150-162

  4. Big Data Intelligent Algorithms

    1. Front Matter

      Pages 163-163
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    2. Local Pyramid Attention and Spatial Semantic Modulation for Automatic Image Colorization

      • Jiawu Dai, Bin Jiang, Chao Yang, Lin Sun, Bolin Zhang
      Pages 165-181

    3. Quality-Sensitive Feature Extraction for End Product Quality Prediction in Injection Molding Processes

      • Fangyang Liu, Yalin Wang, Kai Wang
      Pages 182-193

    4. Traffic Knowledge Graph Based Trajectory Destination Prediction

      • Zhuang Zhuang, Lu Wang, Zhenliang Hao, Heng Qi, Yanming Shen, Baocai Yin
      Pages 194-215

    5. Aligning Networks by Maximizing Topological Consistency Between Neighborhoods

      • Boshen Shi, Yongqing Wang, Huawei Shen, Xueqi Cheng
      Pages 216-232

    6. OVAE: Out-of-Distribution Detection with Multi-label-enhanced Variational Autoencoders

      • Zhenyu Yan, Qinliang Su
      Pages 233-247
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About this book

This book constitutes the proceedings of the 9th CCF Conference on Big Data, BigData 2021, held in Guangzhou, China, in January 2022. Due to the COVID-19 pandemic BigData 2021 was postponed to 2022. 

The 21 full papers presented in this volume were carefully reviewed and selected from 66 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications. 

Editors and Affiliations

  • National University of Defense Technology, Changsha, China

    Xiangke Liao

  • Shenzhen University of Technology, Chinese Academy of Sciences, Shenzhen, China

    Wei Zhao

  • University of Science and Technology of China, Hefei, China

    Enhong Chen

  • Sun Yat-sen University, Guangzhou, China

    Nong Xiao, Changdong Wang, Dan Huang

  • Taiyuan University of Technology, Taiyuan, China

    Li Wang

  • Nanjing University, Nanjing, China

    Yang Gao, Yinghuan Shi

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