Selected Tutorials
S.No. | Tutorial Title |
---|---|
1 | Make Wise Decisions for Your DBMSs: Workload Forecasting and Performance Prediction Before Execution (Click Here!) |
2 | Reachability on Large-scale Graphs: Models, Techniques, and Trends (Click Here!) |
3 | A tutorial on biomedical image segmentation using deep learning (Click Here!) |
4 | AI Meets NoSQL Database: Methods, Opportunities and Challenges (Click Here!) |
5 | Time Series Anomaly Detection Toolkit for AI Applications (Click Here!) |
1. Make Wise Decisions for Your DBMSs: Workload Forecasting and Performance Prediction Before Execution
Speakers:
- Zhengtong Yan (University of Helsinki)
- Jiaheng Lu (University of Helsinki)
- Qingsong Guo (University of Helsinki)
- Gongsheng Yuan (University of Helsinki)
- Calvin Sun (Huawei Toronto)
- Steven Yang (Huawei Toronto)
Brief outline of the tutorial:
Speakers Bio
2. Reachability on Large-scale Graphs: Models, Techniques, and Trends
Speakers:
- Xiaoshuang Chen (Guangzhou University)
- Long Yuan (Nanjing University of Science and Technology)
- Wenjie Zhang (University of New South Wales )
- Ying Zhang (University of Technology Sydney)
Brief outline of the tutorial:
Speakers Bio
3. A tutorial on biomedical image segmentation using deep learning
Speakers:
- Sonali Agarwal (IIIT Allahabad)
- Krishna Pratap Singh (IIIT Allahabad)
- Sanjay Kumar Sonbhadra (ITER Bhubaneswar)
- Narinder Singh Punn (IIIT Allahabad)
Brief outline of the tutorial:
Speakers Bio
4. AI Meets NoSQL Database: Methods, Opportunities and Challenges
Speakers:
- Hongzhi Wang (Harbin Institute of Technology)
- Zhixin Qi (Harbin Institute of Technology)
- Yu Yan (Harbin Institute of Technology)
Brief outline of the tutorial:
(1) Background and Motivation (10’): We introduce the background of AI for database and motivate the need for applying AI techniques on NoSQL database with several scenarios.
(2) Cost Estimation for Graph and Document Databases (20’): We discuss how AI techniques estimate query costs for graph and document databases.
(3) Physical Design for Key-Value and Graph Databases (20’): We introduce physical design methods for key-value and graph databases based on AI techniques.
(4) Index Recommendation for Key-Value and Document Databases (15’): We discuss existing AI-based index recommendation approaches for key-value and document databases.
(5) Opportunities and Challenges (20’): We present the research opportunities and challenges for NoSQL database management based on AI techniques.
(6) Summary (5’): We summarize this tutorial and give our critical thoughts to AI for NoSQL database.
Speakers Bio
5. Time Series Anomaly Detection Toolkit for AI Applications
Speakers:
- Dhaval Patel (IBM Research)
- Dzung Phan (IBM Research)
- Markus Mueller (IBM Germany)
Brief outline of the tutorial:
Speakers Bio
Important Dates
Proposal submission Due | (extended) |
Acceptance Notification |