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.

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Join us in San Francisco for the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

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Applied Data Science
Invited Talks
Danny Shapiro
Ashok Srivastava
Moderator: Evangelos Simoudis
Duncan Watts
Oliver Downs
Ingo Mierswa
Jonathan Becher
Ralf Herbrich
2016 Full Day Workshops
Towards measuring the impact of research institutions

The 5th International Workshop on Urban Computing

Interactive Data Exploration and Analytics

Workshop on Issues of Sentiment Discovery and Opinion Mining

15th International Workshop on Data Mining in Bioinformatics

2016 Half Day Workshops
Mining and Learning with Graphs

Outlier Definition, Detection, and Description On-Demand

Workshop on Causal Discovery

Workshop for Security + User and Entity Behavior Analytics

Large-Scale Sports Analytics

Machine learning for large scale transportation systems

Data Science for Food, Energy and Water

Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Enterprise Intelligence

Machine learning meets fashion: Data, algorithms and analytics for the fashion industry

Mining and Learning from Time Series

Machine Learning for Prognostics and Health Management

2016 KDD Workshop on Large-scale Deep Learning for Data Mining

Videos from past years

The conference is a highly selective meeting that includes oral and poster presentations of refereed papers, and panel discussions and invited talks by the leading academic and industrial experts.