Microsoft Research @ KDD 2017

Conventional Tutorials

Large Scale Hierarchical Classification: Foundations, Algorithms and Applications

Huzefa Rangwala, George Mason University
Azad Naik, Microsoft

A/B Testing at Scale: Accelerating Software Innovation

Alex Deng, Microsoft
Pavel Dmitriev, Microsoft
Somit Gupta, Microsoft
Ron Kohavi, Microsoft
Paul Raff, Microsoft
Lukas Vermeer, Booking.com

Making Better Use of the Crowd (opens in new tab)

Jennifer Wortman Vaughan, Microsoft Research

A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (opens in new tab)

Alexandra Olteanu, IBM Research, US
Emre Kıcıman, Microsoft Research, US
Carlos Castillo, Eurecat, Spain
Fernando Diaz, Microsoft Research, US

Urban Computing: Enabling Intelligent Cities with Big Data (opens in new tab)

Yu Zheng, Microsoft Research

Hands-on Tutorials

Using R for Scalable Data Science: Single Machines to Hadoop Spark Clusters (opens in new tab) | Wednesday PM

Robert Horton, Microsoft
Mario Inchiosa, Microsoft
Vanja Paunic, Microsoft
Hang Zhang, Microsoft

Cloud based data mining tools for storage, distributed processing, and machine learning systems for scientific data | Thursday AM

Vani Mandava, Microsoft Research
Dennis Gannon, Indiana UniversityOpens in a new tab