Towards scalable dataframe systems D Petersohn, S Macke, D Xin, W Ma, D Lee, X Mo, JE Gonzalez, ... arXiv preprint arXiv:2001.00888, 2020 | 103 | 2020 |
Convolutional kitchen sinks for transcription factor binding site prediction A Morrow, V Shankar, D Petersohn, A Joseph, B Recht, N Yosef arXiv preprint arXiv:1706.00125, 2017 | 24 | 2017 |
Flexible rule-based decomposition and metadata independence in modin: a parallel dataframe system D Petersohn, D Tang, R Durrani, A Melik-Adamyan, JE Gonzalez, ... Proceedings of the VLDB Endowment 15 (3), 2021 | 17 | 2021 |
Enhancing the interactivity of dataframe queries by leveraging think time D Xin, D Petersohn, D Tang, Y Wu, JE Gonzalez, JM Hellerstein, ... arXiv preprint arXiv:2103.02145, 2021 | 12 | 2021 |
Dataframe systems: Theory, architecture, and implementation D Petersohn University of California, Berkeley, 2021 | 8 | 2021 |
Scaling Interactive Data Science Transparently with Modin D Petersohn University of California, Berkeley, 2018 | 4 | 2018 |
Mining large-scale repetitive sequences in a mapreduce setting H Cao, M Phinney, D Petersohn, B Merideth, CR Shyu International Journal of Data Mining and Bioinformatics 14 (3), 210-228, 2016 | 4 | 2016 |
MRSMRS: Mining repetitive sequences in a MapReduce setting H Cao, M Phinney, D Petersohn, B Merideth, CR Shyu 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2014 | 2 | 2014 |
Scaling Data Science does not mean Scaling Machines. D Petersohn CIDR, 2021 | 1 | 2021 |
Large scale multi-species palindrome study using distributed in-memory computing D Petersohn, M Spencer, A Fratila, CR Shyu 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015 | 1 | 2015 |