ML4DM 2025: The fifth workshop on the emerging applications of machine learning in modern data management
Machine Learning (ML) has gained prominence across various fields, including data management. Rule-based components are being replaced by ML-driven counterparts that extract rules from experience. Statistical methods are giving way to appoaches that learn functional dependencies, correlations, and data skewness. Learning-based techniques offer advantages, such as reducing the cost of developing and maintaining complex classical modules while tailoring behavior to individual system needs. This workshop brings together leaders from research projects and audiences from academia and industry to explore examples of utilizing ML to modernize data management. The discussed topics span the following categories: Robust and Explainable Cost Estimation and Plan Selection, Tuning with Explainable AI, Data Acquisition, and employing Radial Basis Functions for Cardinality Estimation.
Thu 13 NovDisplayed time zone: Eastern Time (US & Canada) change
13:00 - 14:30 | WKS-19: The fifth workshop on the emerging applications of machine learning in modern data management (Part 1)ML4DM at Hall B Workshop agenda: 13:00-13:05: Welcome note (Verena Kantere, Prof. University of Ottawa) 13:05-13:30: Talk on: “Cost-Sensitive Data Acquisition for Incomplete Datasets” (Xiaohui Yu, Prof. York University) 13:30-13:50: Talk on “Robust and Explainable Cost Estimation” (Baoming Chang, PhD candidate University of Waterloo, MSc holder University of Ottawa) 13:50-14:10: Talk on: “Using Radial Basis Functions for Cardinality Estimation” (Nicholas Ostan, Researcher and Data Scientist IBM Db2; Calisto Zuzarte; Senior Technical Staff Member IBM Db2) 14:10-14:30: Talk on: “Robust Plan Evaluation Selection” (Amin Kamali, PhD holder University of Ottawa) | ||
13:00 90mOther | WKS-19: The fifth workshop on the emerging applications of machine learning in modern data management (Part 1) ML4DM | ||
15:00 - 16:30 | WKS-19: The fifth workshop on the emerging applications of machine learning in modern data management (Part 2)ML4DM at Hall B Workshop agenda: 15:00-15:25: Talk on: “Guiding Expert tuning with eXplainable AI” (Andrew Chai, Phd candidate York University; Jarek Szlichta Prof York University) 15:25-16:25: Panel discussion on “The future of ML-based Query Processing and Optimization”: (Calisto Zuzarte, Xiaohui Yu, Jarek Szlichta, Andrew Chai, Nicholas Ostan, Verena Kantere) 16:25-16:30: Conclusion note and farewell (Verena Kantere) | ||
15:00 90mOther | WKS-19: The fifth workshop on the emerging applications of machine learning in modern data management (Part 2) ML4DM | ||
Call for Papers
There is no call for papers in this workshop. The presentations included in the program are invited.