Arun Kumar
August 21, 2018
ML/AI Systems and Applications: Is the SIGMOD/VLDB Community Losing Relevance?
Overview of DEEM 2018 The ACM SIGMOD Second Workshop on Data Management for End-to-End Machine Learning (DEEM) was successfully held last June in Houston, TX. The goal of DEEM is to bring together researchers and practitioners at the intersection of applied machine learning (ML) and data management/systems research to discuss data management/systems issues in ML […]
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Aditya Parameswaran
June 25, 2018
Visual Data Exploration: A Fertile Ground for Data Management Research
Information visualization is an essential tool in the arsenal of a data scientist: visualizations help identify trends and patterns, spot outliers and anomalies, and verify hypotheses. Moreover, visualizations are visceral and intuitive: they tell us stories about our data; they educate, delight, inform, enthrall, amaze, and clarify. This has led to the overwhelming popularity of […]
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Ihab Ilyas
April 18, 2018
Data cleaning is a machine learning problem that needs data systems help!
When dealing with real-world data, dirty data is the norm rather than the exception. We continuously need to predict correct values, impute missing ones, and find links between various data artefacts such as schemas and records. We need to stop treating data cleaning as a piecemeal exercise (resolving different types of errors in isolation), and […]
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Melanie Herschel and Yannis Velegrakis
March 22, 2018
On Data Exploration in the era of Big Data
We are witnessing data of unprecedented volume, variety and velocity. Such data is collected from almost every aspect of human activity and stored in large repositories in order to be later analyzed and turned into useful insights. The storage model is not any more the one in which data is placed in predefined structures with […]
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Multiple Contributors
March 10, 2018
A Tribute to José Alfredo Blakeley
José Alfredo Blakeley, Partner Architect at Microsoft, passed away on January 7th, 2018. With this “tribute”, we would like to honor his many contributions to data management. José will be sorely missed as a great scientist, mentor, colleague, and friend. José completed his undergraduate studies at Tecnológico de Monterrey, Mexico in 1978. He continued his […]
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