SIGMOD Record - March 2008
Data Management Projects at Google Michael Cafarella Edward Chang Andrew Fikes Alon Halevy Wilson Hsieh Alberto Lerner Jayant Madhavan S. Muthukrishnan 1. INTRODUCTION This article describes some of the ongoing research projects related to structured data management at Google today. The organization of Google encourages research scientists to work closely with engineering teams. As a result, the r
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Data Quality – The Role of Empiricism Shazia Sadiq The University of Queensland, Australia shazia@itee.uq.edu.au Juliana Freire New York University, USA juliana.freire@nyu.edu Renée J. Miller University of Toronto, Canada miller@cs.toronto.edu Tamraparni Dasu AT&T Labs-Research, USA tamr@research.att.com Ihab F. Ilyas University of Waterloo, Canada ilyas@uwaterloo.ca Felix Naumann Hasso Plattner I
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DEEM: Workshop on Data Management for End-to-End Machine Learning @ ACM SIGMOD'20
https://hpi.de/fileadmin/user_upload/fachgebiete/naumann/publications/2017/SIGMOD_2017_Tutorial_Data_Profiling.pdf
https://dl.acm.org/doi/10.1145/3318464.3380605
https://dl.acm.org/doi/10.1145/3318464.3389726
HILDA 2020: Workshop on Human-In-the-Loop Data Analytics
DATA Lab @ Northeastern – Scalable Management and Analysis of Big Data
https://www.juansequeda.com/blog/2020/06/22/sigmod-2020-a-virtual-trip-report/
https://dl.acm.org/doi/10.1145/3299869.3314050
Entity Matching Meets Data Science: A Progress Report from the Magellan Project
Courting ML: Witnessing the Marriage of Relational & Web Data Systems to Machine Learning – ACM SIGMOD Blog
http://raulcastrofernandez.com/papers/sigmod16-workshop-aurum.pdf
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aiDM 2023
1af3118f0d70e2e04b42498d53a1893385689bd6
Data Management Challenges in Production Machine Learning
Lehrstuhl für Datenbanksysteme
SIGMOD Tutorial 9, Friday May 19, 9 AM
Data Management in Machine Learning: Challenges, Techniques, and Systems