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

Conversation Topics at KDD2016
NEW for 2016 - Join experts, practitioners and students to discuss the key topics in KDD.

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Applied Data Science
Invited Talks
Danny Shapiro
Ashok Srivastava
Jeff Schneider
Caitlin Smallwood
Andy Palmer
Kamakshi Sivaramakrishnan
Duncan Watts
Oliver Downs
Ingo Mierswa
Jonathan Becher
Ralf Herbrich
Ching Law
Applied Data Science
Invited Panels
Moderator: Usama Fayyad Panel: Can Tools Effectively Unleash the Power of Big Data?
Moderator: Evangelos Simoudis Panel - Big Data Needs Big Dreamers: Lessons from successful Big Data investors
2016 Full Day Workshops
2 Day Workshop

Towards measuring the impact of research institutions

Mining and Learning with Graphs

Large-Scale Sports Analytics

Data Science for Food, Energy and Water

Mining and Learning from Time Series

The 5th International Workshop on Urban Computing

Interactive Data Exploration and Analytics

2016 Half Day Workshops
Outlier Definition, Detection, and Description On-Demand

Workshop on Causal Discovery

Machine learning for large scale transportation systems

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

Machine Learning for Prognostics and Health Management

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

Workshop on Issues of Sentiment Discovery and Opinion Mining

15th International Workshop on Data Mining in Bioinformatics

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.