SIGMOD 2020: Accepted Tutorials
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Automating Exploratory Data Analysis via Machine Learning: An Overview
Tova Milo (Tel Aviv University); Amit Somech (Tel Aviv University)
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Crowdsourcing Practice for Efficient Data Labelling: Aggregation, Incremental Relabeling, and Pricing
Alexey Drutsa (Yandex); Valentina Fedorova (Yandex); Dmitry Ustalov (Yandex); Olga Megorskaya (Yandex); Evfrosiniya Zerminova (Yandex); Daria Baidakova (Yandex)
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State of the Art and Open Challenges in Natural Language Interfaces to Data
Fatma Özcan (IBM Research AI); Abdul Quamar (IBM Research AI); Jaydeep Sen (IBM Research AI); Chuan Lei (IBM Research AI); Vasilis Efthymiou (IBM Research AI)
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Fairness and Bias in Peer Review and other Sociotechnical Intelligent Systems
Nihar B. Shah (Carnegie Mellon University); Zachary Lipton (Carnegie Mellon University)
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Le Taureau: Deconstructing the Serverless Landscape & A Look Forward
Anurag Khandelwal (Yale University); Arun Kejariwal (Facebook Inc.); Karthik Ramasamy (Splunk Inc.)
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Beyond Analytics: the Evolution of Stream Processing Systems
Paris Carbone (RISE SICS); Vasiliki Kalavri (Boston University); Marios Fragkoulis (TU Delft); Asterios Katsifodimos (TU Delft)
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Worst-Case Optimal Joins Meet Top-k: Algorithms, Cost Models and Optimality (Slides)
Nikolaos Tziavelis (Northeastern University); Wolfgang Gatterbauer (Northeastern University); Mirek Riedewald (Northeastern University)
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Key-value Storage Engines
Stratos Idreos (Harvard University); Mark Callaghan (MongoDB)
