Course Description

KeyNote and Courses (to be completed)

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


    Hanan Samet
    (University of Maryland) [intermediate]
    Multidimensional, Spatial, and Metric Data Structures for Sorting in Space and Similarity Searching