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Data Science

8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19–22, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

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Editors:
  1. Yang Wang

    1. Southwest Petroleum University, Chengdu, China

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  2. Guobin Zhu

    1. University of Electronic Science and Technology of China, Chengdu, China

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  3. Qilong Han

    1. Harbin Engineering University, Harbin, China

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  4. Hongzhi Wang

    1. Harbin Institute of Technology, Harbin, China

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  5. Xianhua Song

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

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  6. Zeguang Lu

    1. National Academy of Guo Ding Institute of Data Sciences, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1628)

Included in the following conference series:

Conference proceedings info: ICPCSEE 2022.

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Table of contents (32 papers)

  1. Front Matter

    Pages i-xxiv
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  2. Big Data Mining and Knowledge Management

    1. Front Matter

      Pages 1-1
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    2. Self-attention Based Multimodule Fusion Graph Convolution Network for Traffic Flow Prediction

      • Lijie Li, Hongyang Shao, Junhao Chen, Ye Wang
      Pages 3-16

    3. Data Analyses and Parallel Optimization of the Tropical-Cyclone Coupled Numerical Model

      • Yanqiang Wang, Tianyu Zhang, Zhaohui Yin, Sai Hao, Chenqi Wang, Bo Lin
      Pages 17-28

    4. Factorization Machine Based on Bitwise Feature Importance for CTR Prediction

      • Hao Li, Caimao Li, Yuquan Hou, Hao Lin, Qiuhong Chen
      Pages 29-40

    5. Focusing on the Importance of Features for CTR Prediction

      • Yuquan Hou, Caimao Li, Hao Li, Hao Lin, Qiuhong Chen
      Pages 41-52

    6. Active Anomaly Detection Technology Based on Ensemble Learning

      • Weiwei Liu, Shuya Lei, Liangying Peng, Jun Feng, Sichen Pan, Meng Gao
      Pages 53-66

    7. Automatic Generation of Graduation Thesis Comments Based on Multilevel Analysis

      • Yiwen Zhu, Zhaoyi Li, Yanzi Li, Yanqing Wang
      Pages 67-79

    8. A Survey of Malware Classification Methods Based on Data Flow Graph

      • Tingting Jiang, Lingling Cui, Zedong Lin, Faming Lu
      Pages 80-93

    9. Anomaly Detection of Multivariate Time Series Based on Metric Learning

      • Hongkai Wang, Jun Feng, Liangying Peng, Sichen Pan, Shuai Zhao, Helin Jin
      Pages 94-110

    10. Social Network Analysis of Coauthor Networks in Inclusive Finance in China

      • Jiamin Yan, Fenjing An, Ruiqi Wang, Ling Chen, Xi Yu, Mingsen Deng
      Pages 111-122

    11. Multirelationship Aware Personalized Recommendation Model

      • Hongtao Song, Feng Wang, Zhiqiang Ma, Qilong Han
      Pages 123-136

  3. Machine Learning for Data Science

    1. Front Matter

      Pages 137-137
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    2. Preliminary Study on Adapting ProtoPNet to Few-Shot Learning Using MAML

      • Yapu Zhao, Yue Wang, Xiangyang Zhai
      Pages 139-151

    3. A Preliminary Study of Interpreting CNNs Using Soft Decision Trees

      • Qilong Zhao, Yue Wang
      Pages 152-162

    4. Deep Reinforcement Learning with Fuse Adaptive Weighted Demonstration Data

      • Baofu Fang, Taifeng Guo
      Pages 163-177

    5. DRIB: Interpreting DNN with Dynamic Reasoning and Information Bottleneck

      • Yu Si, Keyang Cheng, Zhou Jiang, Hao Zhou, Rabia Tahir
      Pages 178-189

  4. Multimedia Data Management and Analysis

    1. Front Matter

      Pages 191-191
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    2. Advanced Generative Adversarial Network for Image Superresolution

      • Mei Jia, Mingde Lu, Yu Sang
      Pages 193-208

    3. Real-World Superresolution by Using Deep Degradation Learning

      • Rui Zhao, Junhong Chen, Zhen Zhang
      Pages 209-218
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Other volumes

  1. Data Science

  2. Data Science

Keywords

About this book

This two volume set (CCIS 1628 and 1629) constitutes the refereed proceedings of the 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022 held in Chengdu, China, in  August, 2022.

The 65 full papers and 26 short papers presented in these two volumes were carefully reviewed and selected from 261 submissions. The papers are organized in topical sections on: Big Data Mining and Knowledge Management; Machine Learning for Data Science; Multimedia Data Management and Analysis.

Editors and Affiliations

  • Southwest Petroleum University, Chengdu, China

    Yang Wang

  • University of Electronic Science and Technology of China, Chengdu, China

    Guobin Zhu

  • Harbin Engineering University, Harbin, China

    Qilong Han

  • Harbin Institute of Technology, Harbin, China

    Hongzhi Wang

  • Harbin University of Science and Technology, Harbin, China

    Xianhua Song

  • National Academy of Guo Ding Institute of Data Sciences, Beijing, China

    Zeguang Lu

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