Overview
Amazon is proud to be a Platinum sponsor of KDD 2020.
About KDD: The Knowledge Discovery and Data Mining Conference brings together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics and big data.
Amazon program organizing committee
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Hands-on Tutorial Chair
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Program Committee, Research Track
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Senior Program Committee, Research Track
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Xin Luna DongApplied Data Science Invited Talk Chair
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Program Committee, Research Track
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Program Committee, Research Track
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Program Committee, Research Track
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Feng NanProgram Committee, Research Track
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Program Committee, Research Track
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Prashant ShiralkarProgram Committee, Research Track
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Program Committee, Research Track
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Local Industry and Community Support Chair
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Program Committee, Research Track
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Derek YoungWeb Chair, Job matching Chair
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Program Committee, Research Track
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Program Committee, Research Track
Applied data science invited speakers
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Daniel MarcuDirector, Alexa Search
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Taha Kass-HoutDirector, Machine Learning, AWS Health AI
Publications
Workshops and tutorials
Knowledge Graphs in E-commerce Workshop
Keynote: Xin Luna Dong
Workshop on Conversational Systems Towards Mainstream Adoption
Accepted publication: IQ-Net: A DNN model for estimating interaction-level dialogue quality with conversational agents
6th Workshop on Mining and Learning from Time Series
Keynote: Inderjit S. Dhillon
Accepted publication: The effectiveness of discretization in forecasting: An empirical study on neural time series models
1st International Workshop on Industrial Recommendation 2020
Accepted Publication: A flexible large-scale similar product identification system in e-commerce
16th International Workshop on Mining and Learning with Graphs
Co-Chair: Shobeir Fakhraei
Multi-modal Information Extraction from Text, Semi-structured, and Tabular Data on the Web
Tutorial: Colin Lockard, Prashant Shiralkar, Xin Luna Dong and Hannaneh Hajishirzi
Put Deep Learning to work: Accelerate Deep Learning through AWS EC2 and ML Services
Tutorial: Wenming Ye and Rachel Hu
Faster, Simpler, More Accurate: Practical Automated Machine Learning with Tabular, Text, and Image D
Tutorial: Jonas Mueller, Xingjian Shi, and Alexander Smola
Scalable Graph Neural Networks with Deep Graph Library
Tutorial: Da Zheng, George Karypis, Zheng Zhang, Minjie Wang, and Quan Gan
Connect with us
Amazon scientists are looking forward to meeting you at KDD. If you would like to meet with us 1:1 during the conference, please contact KDD2020@amazon.com.
Are you ready for your next opportunity? Check out our open positions below. We have global opportunities available.
Related content
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