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Bill Howe
Associate Professor
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My group's research aims to make the techniques and technologies of data science dramatically more accessible, particularly at scale. Our methods are rooted in database models and languages, though we sometimes work in machine learning, visualization, HCI, and high-performance computing. We are an applied, systems-oriented group, frequently sourcing projects through collaborations in the physical, life, and social sciences.
Papers151 papers
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Special Interest Group on Management of Data, no. 1 (2020): 34-41
Proc. VLDB Endow., no. 12 (2020): 3474-3488
David Maier, Rachel Pottinger,AnHai Doan, Eduard C. Dragut,Bill Howe, Joanne Lateulere, John Lateulere, Mostafa Milani, Tilmann Rabl,Dan Suciu, Yufei Tao, Wang-Chiew Tan
SIGMOD Rec., no. 3 (2020): 43-54
ICDAR, pp.1063-1070, (2019)
Proceedings of the 2019 International Conference on Management of Data, pp.793-810, (2019)
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp.2893-2896, (2019)
Stephen J. Mooney, Kate Hosford, Kate Hosford,Bill Howe, An Yan,Meghan Winters,Alon Bassok,Jana A. Hirsch
Journal of Transport Geography, (2019): 91-96
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IEEE Data Eng. Bull., no. 3 (2019): 24-35
arXiv: Databases, (2019)
CHI, pp.694, (2019)
CIDR, (2019)
FAT*'19: PROCEEDINGS OF THE 2019 CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, pp.191-200, (2019)
The World Wide Web Conference, pp.3605-3609, (2019)
arXiv: Learning, (2019)
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