May 7, 2024 (Tuesday) May 8, 2024 (Wednesday) May 9, 2024 (Thursday) May 10, 2024 (Friday)
May 7, 2024 (Tuesday)
08:00-17:00 Registration
09:00-10:30 Workshop RAFDA
R201D
Research and Applications of Foundation Models for Data Mining and
Affective Computing		 Workshop DMO-FinTech
R201E
Decision Making and Optimization in Financial Technologies		 Workshop TA
R201F
Temporal Analytics		 Tutorial T1
R201C
Addressing Geographical Biases
in Language
Models: A Practical Tutorial		 Tutorial T3
R201A
Machine Learning for Streaming
Data		 Tutorial T5
R201B
Effective Model Reduction for
Edge Intelligence		 Tutorial T7
R203
PAMI: An Open Source Python Library for Pattern Mining in Big Data
10:30-10:50 Coffee Break
10:50-12:20 Workshop RAFDA
R201D
Research and Applications of Foundation Models for Data Mining and
Affective Computing		 Workshop DMO-FinTech
R201E
Decision Making and Optimization in Financial Technologies		 Workshop TA
R201F
Temporal Analytics		 Tutorial T1
R201C
Addressing Geographical Biases in Language Models: A Practical Tutorial		 Tutorial T3
R201A
Machine Learning for Streaming Data		 Tutorial T5
R201B
Effective Model Reduction for Edge Intelligence		 Tutorial T7
R203
PAMI: An Open Source Python Library for Pattern Mining in Big Data
12:20-13:40 Lunch
13:40-15:10 Workshop RAFDA
R201D
Research and Applications of Foundation Models for Data Mining and
Affective Computing		 Workshop UDML
R201E
Utility-Driven Mining and Learning		 Workshop RMLOE
R201F
Robust Machine Learning in Open Environments		 Tutorial T2
R201C
Beyond Point Estimates : Theory & Applications of Uncertainty
Estimations		 Tutorial T4
R201A
Heterogeneity in Federated Learning		 Tutorial T6
R201B
Data Mining in Big Dynamic Networks
15:10-15:30 Coffee Break
15:30-17:00 Workshop RAFDA
R201D
Research and Applications of Foundation Models for Data Mining and
Affective Computing		 Workshop UDML
R201E
Utility-Driven Mining and Learning		 Workshop RMLOE
R201F
Robust Machine Learning in Open Environments		 Tutorial T2
R201C
Beyond Point Estimates : Theory & Applications of Uncertainty
Estimations		 Tutorial T4
R201A
Heterogeneity in Federated Learning		 Tutorial T6
R201B
Data Mining in Big Dynamic Networks
18:00-20:00 Welcome Reception