演讲摘要：Interactive data exploration tools are extremely popular; as examples, the spreadsheet tool Microsoft Excel is used by nearly 10% of the world's population, while the visual analytics tool Tableau was valued at $16B prior to its acquisition by Salesforce. Despite their popularity across a spectrum of domains, it is still challenging to use these tools to derive insights, especially on large datasets that are increasingly the norm, leading to frustration, missed opportunities and errors, and tedious manual effort. Drawing on examples from spreadsheets and visual analytics, we will describe our work on simplifying and accelerating data exploration, as well as some takeaways from our experience.
讲者简介：Aditya Parameswaran is an Assistant Professor at the University of California, Berkeley. Aditya develops systems for "human-in-the-loop" data analytics, blending techniques from data management and human-computer interaction to design scalable and usable end-user data analytics tools. He spent a year as a PostDoc at MIT CSAIL following his PhD at Stanford University. Aditya has received a number of awards, notable ones including the VLDB Early Career Research Contributions Award (for "developing tools for large-scale data exploration, targeting non-programmers"), the TCDE Rising Star Award (for "developing new interactive tools & techniques that expand the reach of data analytics"), the Alfred P. Sloan Research Fellowship in Computer Science, the NSF CAREER Award, and the SIGMOD 2020 Best Paper Award.
第37届CCF中国数据库学术会议（NDBC 2020）
主题报告嘉宾
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