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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5 Keynotes
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Applied Data Science
Invited Talks
Invited Talks
Applied Data Science
Invited Panels
Invited Panels
Panel - Big Data Needs Big Dreamers: Lessons from successful Big Data investors
Panel: BigData Tools and Solutions: The Myths and the Reality
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
Raghu Ramakrishnan
Panel
Malsar
The Missing Models