HAPPENING VIRTUALLY: SIAM International Conference on Data Mining (SDM21)
Cybersecurity Analytics: Winning the War Against an Active Attacker
David Marchette, Naval Surface Warfare Center, U.S.
Rakesh M. Verma, University of Houston, U.S.
Srivathsan Srinivasagopalan, AT&T Cybersecurity, U.S.
Data Science on Blockchains
Cuneyt Gurcan Akcora, University of Manitoba, Canada
Yulia R. Gel, University of Texas at Dallas, U.S.
Murat Kantarcioglu, AT&T Cybersecurity, U.S.
Deep Learning Model Complexity: Concepts and Approaches
Xia Yu, Simon Fraser University, Canada
Jian Pei, Simon Fraser University, Canada
Jiang Bian, Microsoft Research, U.S.
Weiqing Liu, Microsoft Research, U.S.
Dense Subgraph Discovery (DSD) Theory and Applications
Charalampos E. Tsourakakis, Boston University, U.S.
Tianyi Chen, Boston University, U.S.
Graph Neural Networks: Models and Advances
Yiqi Wang, Michigan State University, U.S.
Wei Jin, Michigan State University, U.S.
Yao Ma, Michigan State University, U.S.
Jiliang Tang, Michigan State University, U.S.
Hypothesis Testing and Statistically-sound Pattern Mining
Leonardo Pellegrina, University of Padova, Italy
Matteo Riondato, Amherst College, U. S.
Fabio Vandin, University of Padova, Italy
Mining Dynamic Networks with Generative Models
Kevin S. Xu, University of Toledo, U.S.
James R. Foulds, University of Maryland Baltimore County, U.S.
Studying Spread Patterns of COVID-19 based on Spatiotemporal Data
Beiyu Lin, University of Texas Rio Grande Valley, U.S.
Xiaowei Jia, University of Pittsburgh, U.S.
Zhiqian Chen, Mississippi State University, U.S.
Time Series Motif Discovery: Challenges, Recent Advances, and its Applications
Yifeng Gao, George Mason University, U.S.
Jessica Lin, George Mason University, U.S.