| From data mining to knowledge discovery in databases U Fayyad, G Piatetsky-Shapiro, P Smyth AI magazine 17 (3), 37-37, 1996 | 10994 | 1996 |
| BIRCH: an efficient data clustering method for very large databases T Zhang, R Ramakrishnan, M Livny ACM sigmod record 25 (2), 103-114, 1996 | 5978 | 1996 |
| Database management systems R Ramakrishnan, J Gehrke McGraw-Hill, 2000 | 3331 | 2000 |
| When is “nearest neighbor” meaningful? K Beyer, J Goldstein, R Ramakrishnan, U Shaft International conference on database theory, 217-235, 1999 | 3038 | 1999 |
| Benchmarking cloud serving systems with YCSB BF Cooper, A Silberstein, E Tam, R Ramakrishnan, R Sears Proceedings of the 1st ACM symposium on Cloud computing, 143-154, 2010 | 2916 | 2010 |
| Crowdsourcing systems on the world-wide web A Doan, R Ramakrishnan, AY Halevy Communications of the ACM 54 (4), 86-96, 2011 | 1733 | 2011 |
| Introduction to statistical relational learning D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ... MIT press, 2007 | 1685 | 2007 |
| Incognito: Efficient full-domain k-anonymity K LeFevre, DJ DeWitt, R Ramakrishnan Proceedings of the 2005 ACM SIGMOD international conference on Management of …, 2005 | 1494 | 2005 |
| PNUTS: Yahoo!'s hosted data serving platform BF Cooper, R Ramakrishnan, U Srivastava, A Silberstein, P Bohannon, ... Proceedings of the VLDB Endowment 1 (2), 1277-1288, 2008 | 1342 | 2008 |
| Mondrian multidimensional k-anonymity K LeFevre, DJ DeWitt, R Ramakrishnan 22nd International conference on data engineering (ICDE'06), 25-25, 2006 | 1341 | 2006 |
| Scaling mining algorithms to large databases P Bradley, J Gehrke, R Ramakrishnan, R Srikant Communications of the ACM 45 (8), 38-43, 2002 | 1197 | 2002 |
| An amateur's introduction to recursive query processing strategies F Bancilhon, R Ramakrishnan Readings in Artificial Intelligence and Databases, 376-430, 1989 | 1099 | 1989 |
| On the power of magic C Beeri, R Ramakrishnan The journal of logic programming 10 (3-4), 255-299, 1991 | 933 | 1991 |
| Big data and its technical challenges HV Jagadish, J Gehrke, A Labrinidis, Y Papakonstantinou, JM Patel, ... Communications of the ACM 57 (7), 86-94, 2014 | 932 | 2014 |
| On the computation of multidimensional aggregates S Agarwal, R Agrawal, PM Deshpande, A Gupta, JF Naughton, ... VLDB 96, 506-521, 1996 | 908 | 1996 |
| BIRCH: A new data clustering algorithm and its applications T Zhang, R Ramakrishnan, M Livny Data Mining and Knowledge Discovery 1 (2), 141-182, 1997 | 833 | 1997 |
| Bottom-up computation of sparse and iceberg cube K Beyer, R Ramakrishnan Proceedings of the 1999 ACM SIGMOD international conference on Management of …, 1999 | 736 | 1999 |
| CACTUS—clustering categorical data using summaries V Ganti, J Gehrke, R Ramakrishnan Proceedings of the fifth ACM SIGKDD international conference on Knowledge …, 1999 | 675 | 1999 |
| Cognitive computing DS Modha, R Ananthanarayanan, SK Esser, A Ndirango, AJ Sherbondy, ... Communications of the ACM 54 (8), 62-71, 2011 | 654* | 2011 |
| BOAT—optimistic decision tree construction J Gehrke, V Ganti, R Ramakrishnan, WY Loh Proceedings of the 1999 ACM SIGMOD international conference on Management of …, 1999 | 438 | 1999 |
