Data Analytics Algorithms for Various Types of Data
• Tabular Data: Anomaly Detection, Self- and Semi-supervised Learning, Representation Learning
• Natural Language: Word/Sentence/Document Embedding, Sentiment Analysis, Opinion Mining, Dialogue State Tracking
• Time-series Data: Time-series Anomaly Detection, Multivariate Time-series Representation, Incremental Learning and Data Augmentation
• Image/Video Data: Adversarial Attach Detection and Defense, Robustness of Deep
Learning, Context Understanding and Data Augmentation
• General: Multi-modal Learning, eXplainable Artificial Intelligence (XAI), Model Compression for AI Democracy
Industrial Applications
• Manufacturing: Virtual Metrology, Advanced Process Control, Fault Detection, Preventive Maintenance
• Marketing: Response Modeling, Product Offer Optimization, Demand Forecasting,
Opining Mining
• Computer Security: Keystroke Dynamics-based Authentication, Intrusion Detection
• Finance: Stock, Future,and Derivatives Price Prediction, Optimal Training Window
Determination
• Public Data Mining: Congressional Legislative Activities Analysis
