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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

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  2. Tie Wei

    1. Guangxi University, Nanning, China

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  3. Wenbin Liu

    1. Guangzhou University, Guangzhou, China

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  4. Fei Han

    1. Jiangsu University, Zhenjiang, China

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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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Table of contents (20 papers)

  1. Front Matter

    Pages i-xi
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  2. Business Data Science: Fintech, Management, and Analytics

    1. Front Matter

      Pages 1-1
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    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
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    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
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    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

Keywords

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.

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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