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Recent Advances in Data Science

Third International Conference on Data Science, Medicine, and Bioinformatics, IDMB 2019, Nanning, China, June 22–24, 2019, Revised Selected Papers

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Henry Han

    1. Fordham University, New York, USA

  2. Tie Wei

    1. Guangxi University, Nanning, China

  3. Wenbin Liu

    1. Guangzhou University, Guangzhou, China

  4. Fei Han

    1. Jiangsu University, Zhenjiang, China

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1099)

Included in the following conference series:

Conference proceedings info: IDMB 2019.

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About this book

This book constitutes selected papers of the ​Third International Conference on Data Science, Medicine and Bioinformatics, IDMB 2019, held in Nanning, China, in June 2019. 

The 19 full papers and 1 short paper were carefully reviewed and selected from 93 submissions. The papers are organized according to the following topical sections: business data science: fintech, management, and analytics.- health and biological data science.- novel data science theory and applications.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Business Data Science: Fintech, Management, and Analytics

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Locally Linear Embedding for High-Frequency Trading Marker Discovery

      • Henry Han, Jie Teng, Junruo Xia, Yunhan Wang, Zihao Guo, Deqing Li
      Pages 3-17

    3. Implied Volatility Pricing with Selective Learning

      • Henry Han, Haofeng Huang, Jiayin Hu, Fangjun Kuang
      Pages 18-34

    4. A High-Performance Basketball Game Forecast Using Magic Feature Extraction

      • Tiange Li, Henry Han
      Pages 35-50

    5. A Study on the Effect of Flexible Human Resource Practice on Group Citizenship Behavior

      • Ying Huang, Ziyao Li, Jing Wang
      Pages 51-64

    6. Patent Text Mining on Technology Evolution Path in 5G Communication Field

      • Tingting Liu, Tie Wei, Henry Han, Tiange Li
      Pages 65-81

    7. Research on Advertising Click-Through Rate Prediction Model Based on Ensemble Learning

      • Xiaojuan He, Wenjie Pan, Hong Cheng
      Pages 82-93

  3. Health and Biological Data Science

    1. Front Matter

      Pages 95-95
      Download chapter PDF

    2. An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis

      • Yong-Jing Hao, Mi-Xiao Hou, Rong Zhu, Jin-Xing Liu
      Pages 97-111

    3. Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection

      • Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong
      Pages 112-125

    4. Association of PvuII and XbaI Polymorphisms in Estrogen Receptor Alpha (ESR1) Gene with the Chronic Hepatitis B Virus Infection

      • Ke Men, Wen Ren, Xia Wang, Tianjian Men, Ping Li, Kejun Ma et al.
      Pages 126-136

    5. Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis

      • Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu
      Pages 137-151

    6. A Novel Multiple Sequence Alignment Algorithm Based on Artificial Bee Colony and Particle Swarm Optimization

      • Fangjun Kuang, Siyang Zhang
      Pages 152-169

    7. A Flexible and Comprehensive Platform for Analyzing Gene Expression Data

      • Bolin Chen, Chenfei Wang, Li Gao, Xuequn Shang
      Pages 170-183

    8. Classification of Liver Cancer Images Based on Deep Learning

      • Hui Ye, Qiaojun Chen, Haimei Wu, Dong Cao
      Pages 184-195

    9. DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile

      • Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong
      Pages 196-208

  4. Novel Data Science Theory and Applications

    1. Front Matter

      Pages 209-209
      Download chapter PDF

    2. Exploring Blockchain in Speech Recognition

      • Xuemei Yang, Heming Huang
      Pages 211-220

    3. Automatic Segmentation of Mitochondria from EM Images via Hierarchical Context Forest

      • Jiajin Yi, Zhimin Yuan, Jialin Peng
      Pages 221-233
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Other volumes

  1. Recent Advances in Data Science

Editors and Affiliations

  • Fordham University, New York, USA

    Henry Han

  • Guangxi University, Nanning, China

    Tie Wei

  • Guangzhou University, Guangzhou, China

    Wenbin Liu

  • Jiangsu University, Zhenjiang, China

    Fei Han

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