New Developments in Data Science and Data Analytics

This conference proceeding represents presentations given at the Annual Meeting of the International Society for Data Science and Analytics (ISDSA) in Nanjing, China, during July 6–8, 2019. The Annual Meeting of ISDSA aims to provide a global forum for researchers and practitioners in the field of data science and data analytics to communicate and showcase their latest research. The meeting was designed to have a single plenary session with invited talks to maximize intellectual exchanges.

The 2019 Meeting had more than 50 attendees with 28 presentations. The researchers were from different academic disciplines and industries from multiple countries. They presented applications and methods in the areas of education, environmental research, medical research, political science, psychology, and so on.

• Zhiyong Zhang
• Ke-Hai Yuan
• Yong Wen
• Jiashan Tang

1. Latent Growth Curve Models with VAR Residuals for Longitudinal Mediation Analysis
   Xiao Liu
2. A Nonparametric Multivariate Statistical Process Control Chart Based on Change Point Model
   Ya Fei Xu and Ostap Okhrin
3. WeibullR: An R Package for Weibull Analysis for Reliability Engineers
   David J. Silkworth
4. Pivot Analysis in Weighted Linear Regression
   Yuancheng Si
5. MCMC Bootstrap Based Approach to Power and Sample Size Evaluation
   Oleksandr Mykolayovich Ocheredko
6. An Application of Aspect-Based Sentiment Analysis on Teaching Evaluation
   Wen Qu and Zhiyong Zhang
7. Exploring Spatio-temporal Patterns of Air Quality Index Data in China
   Haokun Tang, Yulin Xie, and Binbin Lu
8. VBTree Tutorial: Automatic Completion of Group Operation on Structural Dataset
   Chen Zhang, Huakang Bian, Kenta Yamanaka, and Akihiko Chiba
9. On the Relationship between Factor Analysis and Principal Component Analysis in High-Dimensions
   Kentaro Hayashi and Ke-Hai Yuan
10. Reliabilities with Ordered Response Categories Items
    Seohyun Kim, Zhenqiu (Laura) Lu, and Allan Cohen
11. More Accurate Estimators of Multiple Correlation Coefficient
    Bingjiang Li, Lu Peng, Kentaro Hayashi, and Ke-Hai Yuan

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