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Number of items: 9.

Fang, M. and Shivakumar, N. and Garcia-Molina, H. and Motwani, R. and Ullman, J. (1998) Computing iceberg queries efficiently. In: 24rd International Conference on Very Large Data Bases (VLDB 1998), August 24-27, 1998, New York, NY.

Feder, T. and Motwani, R. and Panigrahy, R. and Olston, C. and Widom, J. (1999) Computing the Median With Uncertainty. Technical Report. Stanford InfoLab. (Publication Note: 32nd ACM Symposium on Theory of Computing (STOC 2000), Portland, Oregon, May 2000)

Feder, T. and Motwani, R. and Panigrahy, R. and Olston, C. and Widom, J. (2002) Computing the Median with Uncertainty. Technical Report. Stanford InfoLab. (Publication Note: SIAM Journal on Computing)

Fujiwara, S. and Motwani, R. and Ullman, J. (1999) Dynamic Miss COunting Algorithms: Finding Implication and Similarity Rules With COnfidence Pruning. In: 15th International Conference on Data Engineering (ICDE 1999), March 23-26, 1999, Sydney, Austrialia.

Nestorov, S. and Abiteboul, S. and Motwani, R. (1998) Extracting Schema from Semistructured Data. In: ACM International Conference on Management of Data (SIGMOD 1998), June 2-4, 1998, Seattle, Washington.

Cohen, E. and Datar, M. and Fujiwara, S. and Gionis, A. and Indyk, P. and Motwani, R. and Ullman, J. and Yang, C. (2000) Finding Interesting Associations without Support Pruning. In: 16th International Conference on Data Engineering (ICDE 2000), February 28 - March 3, 2000, San Diego, California.

Nestorov, S. and Abiteboul, S. and Motwani, R. (1997) Inferring Structure in Semistructured Data. In: Workshop on Management of Semistructured Data, May 1997, Tucson, Arizona.

Nestorov, S. and Abiteboul, S. and Motwani, R. (1997) Inferring Structure in Semistructured Data. SIGMOD Record, 26 (4). pp. 39-43.

Tsur, S. and Ullman, J. and Abiteboul, S. and Clifton, C. and Motwani, R. and Nestorov, S. and Rosenthal, A. (1997) Query Flocks: a Generalization of Association-Rule Mining. Technical Report. Stanford InfoLab.

This list was generated on Wed Nov 22 00:47:14 2017 PST.