Included among real-world applications of data science are papers on
- Exploring insider trading using hypernetworks
- Data-driven approach to detection of autism spectrum disorder
- Anonymization and sentiment analysis of Twitter posts
Theoretical papers in the book cover such topics as Optimal Regression Tree Models Through Mixed Integer Programming; Chance Influence in Datasets with Large Number of Features; Adversarial Networks - A Technology for Image Augmentation; and Optimal Regression Tree Models Through Mixed Integer Programming.
Five shorter student-track papers are also published here, on topics such as
- State-of-the-art Deep Learning Methods to effect Neural Machine Translation from Natural Language into SQL
- A Smart Recommendation System to Simplify Projecting for a HMI/SCADA Platform
- Use of Adversarial Networks as a Technology for Image Augmentation
- Using Supervised Learning to Predict the Reliability of a Welding Process
The work collected in this volume of proceedings will provide researchers and practitioners with a detailed snapshot of current progress in the field of data science. Moreover, it willstimulate new study, research, and the development of new applications.
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