Keynotes
Courses
Jie Tang
(Tsinghua University) []
Graph Embedding and Reasoning
Sanchita Bhattacharya
(University of California, San Francisco) [introductory/advanced]
Big Data in Immunology: Sharing, Dissemination, and Repurposing
Diego Calvanese
(Free University of Bozen-Bolzano) [introductory]
Virtual Knowledge Graphs for Data Integration
Sheelagh Carpendale
(University of Calgary) [introductory]
Data Visualization
Nitesh Chawla
(University of Notre Dame) [intermediate/advanced]
Learning from Imbalanced Data
Amr El Abbadi
(University of California, Santa Barbara) [introductory/intermediate]
An Introduction to Blockchain
Charles Elkan
(University of California, San Diego) [intermediate]
A Rapid Introduction to Modern Deep Learning
Jiawei Han
(University of Illinois, Urbana-Champaign) [advanced]
From Unstructured Text to TextCube: Automated Construction and Multidimensional Exploration
Xiaohua Tony Hu
(Drexel University) [introductory/advanced]
Data Mining and Analysis in Big Microbiome Data
Craig Knoblock
(University of Southern California) [intermediate/advanced]
Building Knowledge Graphs
Wladek Minor
(University of Virginia) [introductory/advanced]
Big Data in Biomedical Sciences
Bamshad Mobasher
(DePaul University) [intermediate]
Context-aware Recommender Systems
Jayanti Prasad
(Embold Technologies) [introductory/intermediate]
Big Code
Lior Rokach and Bracha Shapira
(Ben-Gurion University of the Negev) [introductory/intermediate]
Recommender Systems
Peter Rousseeuw
(KU Leuven) [introductory]
Anomaly Detection by Robust Methods
Asim Roy
(Arizona State University) [intermediate]
Hardware-based (GPU, FPGA based) Machine Learning - An Overview of Algorithms and Implementation Ideas and Methods