22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016
KDD 2016, a premier interdisciplinary conference, brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.
Opening Ceremony | ||||
Keynote Talks | ||||
Plenary Panel | ||||
Applied Data Science Invited TalksThe Applied Data Science Invited Talks provide a venue for leading experts in the world of applied data mining and knowledge discovery. These invited talks feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields. The talks and discussions focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure, telecommunications, social media and computational advertising. | ||||
Tutorials | ||||
Hands-On Tutorials | ||||
Applied Data Science Session: Social Good - I | ||||
Applied Data Science Session: Recommendations and Ranking | ||||
Applied Data Science Session: Social Networks and Social Media | ||||
Applied Data Science Session: Machine Learning Algorithms | ||||
Applied Data Science Session: Systems and Experimentation | ||||
Applied Data Science Session: E-Commerce | ||||
Research Session: Graphs and Rich Data | ||||
Research Session: Graphs and Social Networks - I | ||||
Research Session: Graphs and Social Networks - II | ||||
Research Session: Clustering | ||||
Research Session: Unsupervised Learning and Anomaly Detection | ||||
Research Session: Supervised Learning | ||||
Research Session: User-Behavior Modeling | ||||
Research Session: Large-Scale Data Mining | ||||
Research Session: Streams and Temporal Evolution - I | ||||
Research Session: Streams and Temporal Evolution - II | ||||
Research Session: Deep Learning and Embedding | ||||
Research Session: Recommender System | ||||
Research Session: Sequence Mining | ||||
Research Session: Optimization | ||||
Networking Session: Data Science of China @ KDD 2016The proliferation of big data has fostered unprecedented opportunities in China, where talents, data, universities, industries and markets have been ready to make a new level of success for data science. The purpose of this event is to collectively showcase the KDD progress in both academia and industry of China as well the research that has been done by Chinese around the world. This event will help you network with Chinese professionals working on KDD, exploring collaboration opportunities and the KDD industries in China. This event is organized by SIGKDD China Chapter, following the successful event held at KDD 2015 in Sydney. | ||||