| Predictive analytics with Microsoft Azure machine learning R Barga, V Fontama, WH Tok, L Cabrera-Cordon Apress, 2015 | 184 | 2015 |
| An adaptable distributed query processing architecture Y Zhou, BC Ooi, KL Tan, WH Tok Data & Knowledge Engineering 53 (3), 283-309, 2005 | 47 | 2005 |
| Generative adversarial networks M Salvaris, D Dean, WH Tok, M Salvaris, D Dean, WH Tok Deep Learning with Azure: Building and Deploying Artificial Intelligence …, 2018 | 41 | 2018 |
| Deep learning with azure M Salvaris, D Dean, WH Tok Building and Deploying Artificial Intelligence Solutions on Microsoft AI …, 2018 | 39 | 2018 |
| Introducing microsoft azure machine learning R Barga, V Fontama, WH Tok, R Barga, V Fontama, WH Tok Predictive Analytics with Microsoft Azure Machine Learning, 21-43, 2015 | 35 | 2015 |
| Professional Microsoft SQL Server 2012 Integration Services B Knight, E Veerman, JM Moss, M Davis, C Rock John Wiley & Sons, 2012 | 26 | 2012 |
| Microsoft AI platform M Salvaris, D Dean, WH Tok, M Salvaris, D Dean, WH Tok Deep Learning with Azure: Building and Deploying Artificial Intelligence …, 2018 | 25 | 2018 |
| Efficient and adaptive processing of multiple continuous queries WH Tok, S Bressan Advances in Database Technology—EDBT 2002: 8th International Conference on …, 2002 | 24 | 2002 |
| Consistent top-k queries over time ML Lee, W Hsu, L Li, WH Tok Database Systems for Advanced Applications: 14th International Conference …, 2009 | 22 | 2009 |
| DBNet: A service-oriented database architecture WH Tok, S Bressan 17th International Workshop on Database and Expert Systems Applications …, 2006 | 22 | 2006 |
| Practical automated machine learning on Azure: using Azure machine learning to quickly build AI solutions D Mukunthu, P Shah, WH Tok O'Reilly Media, 2019 | 21 | 2019 |
| Metadata driven real-time analytics framework W Zhang, X Ding, WH Tok, X Wu, R Cao, B Demiroski, X Zhao US Patent 9,251,324, 2016 | 21 | 2016 |
| Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies: Future Directions and Advanced Technologies E Pardede IGI Global, 2009 | 20 | 2009 |
| Introducing Microsoft Azure HDInsight Technical Overview A Chauhan Microsoft Press, 0 | 18* | |
| A stratified approach to progressive approximate joins WH Tok, S Bressan, ML Lee Proceedings of the 11th international conference on Extending database …, 2008 | 17 | 2008 |
| RRPJ: Result-rate based progressive relational join WH Tok, S Bressan, ML Lee Advances in Databases: Concepts, Systems and Applications: 12th …, 2007 | 17 | 2007 |
| Metadata driven real-time analytics framework W Zhang, X Ding, WH Tok, X Wu, R Cao, B Demiroski, X Zhao US Patent 10,013,239, 2018 | 16 | 2018 |
| Progressive spatial join WH Tok, S Bressan, ML Lee 18th International Conference on Scientific and Statistical Database …, 2006 | 15 | 2006 |
| Advanced query processing B Catania Springer, 2013 | 14* | 2013 |
| A framework for similarity search of time series cliques with natural relations B Cui, Z Zhao, WH Tok IEEE Transactions on Knowledge and Data Engineering 24 (3), 385-398, 2010 | 14 | 2010 |
Stephane BressanNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
