SDM24 Minitutorials | SIAM
 

Minitutorials


SIAM International Conference on Data Mining (SDM24)

Minitutorials


Two Hour Tutorials

From Feature Selection to Instance-wise Feature Acquisition

Daphney-Stavroula Zois, University at Albany
Charalampos Chelmis, University at Albany

Intelligent Seismic Data Processing: A Data Science Perspective

Abdullah Mueen, University of New Mexico

Discovering High-Ordered Semantic Structures in Massive Time Series: Algorithms and Applications

Li Zhang, University of Texas Rio Grande Valley
Yifeng Gao, University of Texas Rio Grande Valley
Yan Zhu, Google
Jessica Lin, George Mason University

Trustworthy Anomaly Detection

Shuhan Yuan, Utah State University
Depeng Xu, University of North Carolina at Charlotte
Xintao Wu, University of Arkansas

Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons

Rui Xue, North Carolina State University
Haoyu Han, Michigan State University
Tong Zhao, Snap Inc
Neil Shah, Snap Inc
Jiliang Tang, Michigan State University
Xiaorui Liu, North Carolina State University

Heterogeneity in Federated Learning

Jiaqi Wang, The Pennsylvania State University
Fenglong Ma, The Pennsylvania State University

Data Quality-Aware Graph Machine Learning

Yu Wang, Vanderbilt University
Yijun Tian, University of Notre Dame
Tong Zhao, Snap Inc.
Xiaorui Liu, North Carolina State University
Jian Kang, University of Rochester
Tyler Derr, Vanderbilt University

Data Heterogeneity Analysis for Prediction and Decision

Peng Cui, Tsinghua University
Jiashuo Liu, Tsinghua University
Bo Li, Tsinghua University