| CrowdDB: answering queries with crowdsourcing MJ Franklin, D Kossmann, T Kraska, S Ramesh, R Xin Proceedings of the 2011 ACM SIGMOD International Conference on Management of …, 2011 | 771 | 2011 |
| Crowder: Crowdsourcing entity resolution J Wang, T Kraska, MJ Franklin, J Feng arXiv preprint arXiv:1208.1927, 2012 | 566 | 2012 |
| Building a database on S3 M Brantner, D Florescu, D Graf, D Kossmann, T Kraska Proceedings of the 2008 ACM SIGMOD international conference on Management of …, 2008 | 395 | 2008 |
| An evaluation of alternative architectures for transaction processing in the cloud D Kossmann, T Kraska, S Loesing Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010 | 363 | 2010 |
| MLbase: A Distributed Machine-learning System. T Kraska, A Talwalkar, JC Duchi, R Griffith, MJ Franklin, MI Jordan Cidr 1, 2-1, 2013 | 357 | 2013 |
| The case for learned index structures T Kraska, A Beutel, EH Chi, J Dean, N Polyzotis Proceedings of the 2018 International Conference on Management of Data, 489-504, 2018 | 354 | 2018 |
| Consistency rationing in the cloud: Pay only when it matters T Kraska, M Hentschel, G Alonso, D Kossmann Proceedings of the VLDB Endowment 2 (1), 253-264, 2009 | 323 | 2009 |
| MDCC: Multi-data center consistency T Kraska, G Pang, MJ Franklin, S Madden, A Fekete Proceedings of the 8th ACM European Conference on Computer Systems, 113-126, 2013 | 270 | 2013 |
| How is the weather tomorrow? Towards a benchmark for the cloud C Binnig, D Kossmann, T Kraska, S Loesing Proceedings of the Second International Workshop on Testing Database Systems …, 2009 | 234 | 2009 |
| Leveraging transitive relations for crowdsourced joins J Wang, G Li, T Kraska, MJ Franklin, J Feng Proceedings of the 2013 ACM SIGMOD International Conference on Management of …, 2013 | 211 | 2013 |
| MLI: An API for distributed machine learning ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ... 2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013 | 198 | 2013 |
| Automating model search for large scale machine learning ER Sparks, A Talwalkar, D Haas, MJ Franklin, MI Jordan, T Kraska Proceedings of the Sixth ACM Symposium on Cloud Computing, 368-380, 2015 | 134* | 2015 |
| A sample-and-clean framework for fast and accurate query processing on dirty data J Wang, S Krishnan, MJ Franklin, K Goldberg, T Kraska, T Milo Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 127 | 2014 |
| The end of slow networks: It's time for a redesign C Binnig, A Crotty, A Galakatos, T Kraska, E Zamanian arXiv preprint arXiv:1504.01048, 2015 | 116 | 2015 |
| Crowdsourced enumeration queries B Trushkowsky, T Kraska, MJ Franklin, P Sarkar 2013 IEEE 29th International Conference on Data Engineering (ICDE), 673-684, 2013 | 110 | 2013 |
| A demonstration of the bigdawg polystore system AJ Elmore, J Duggan, M Stonebraker, M Balazinska, U Cetintemel, ... Proceedings of the VLDB Endowment 8 (12), 1908, 2015 | 104 | 2015 |
| Extending XQuery with window functions I Botan, PM Fischer, D Kossmann, T Kraska, D Florescu, R Tamosevicius | 99 | 2007 |
| Superneurons: Dynamic GPU memory management for training deep neural networks L Wang, J Ye, Y Zhao, W Wu, A Li, SL Song, Z Xu, T Kraska Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018 | 96 | 2018 |
| An architecture for compiling udf-centric workflows A Crotty, A Galakatos, K Dursun, T Kraska, C Binnig, U Cetintemel, ... Proceedings of the VLDB Endowment 8 (12), 1466-1477, 2015 | 95* | 2015 |
| Finding the needle in the big data systems haystack T Kraska IEEE internet Computing 17 (1), 84-86, 2013 | 95 | 2013 |
Michael FranklinLiew Family Chair of Computer Science, University of ChicagoBestätigte E-Mail-Adresse bei uchicago.edu
