Nilesh Dalvi
Dan Suciu
- Andritsos, P. and Fuxman, A., Miller, R.J. Clean answers over dirty databases. In ICDE (2006). Google Scholar
Digital Library
- Antova, L., Jansen, T., Koch, C. and Olteanu, D. Fast and simple relational processing of uncertain data. In ICDE (2008). Google ScholarDigital Library
- Barbara, D., Garcia-Molina, H. and Porter, D. The management of probabilistic data. IEEE Trans. Knowl. Data Eng. 4, 5 (1992), 487--502. Google ScholarDigital Library
- Benjelloun, O., Sarma, A.D., Halevy, A., Theobald, M. and Widom, J. Databases with uncertainty and lineage. VLDBJ 17, 2 (2008), 243--264. Google ScholarDigital Library
- Burdick, D., Deshpande, P., Jayram, T.S., Ramakrishnan, R. and Vaithyanathan, S. Efficient allocation algorithms for OLAP over imprecise data. In VLDB (2006), 391--402. Google ScholarDigital Library
- Cavallo, R. and Pittarelli, M. The theory of probabilistic databases. In Proceedings of VLDB (1987), 71--81. Google ScholarDigital Library
- Cheng, R., Kalashnikov, D. and Prabhakar, S. Evaluating probabilistic queries over imprecise data. In SIGMOD (2003), 551--562. Google ScholarDigital Library
- Codd, E.F. Relational completeness of data base sublanguages. In Database Systems (1972), Prentice-Hall, 65--98.Google Scholar
- Cowell, R., Dawid, P., Lauritzen, S. and Spiegelhalter D., eds. Probabilistic Networks and Expert Systems (1999), Springer. Google ScholarDigital Library
- Dalvi, N. and Suciu, D. The dichotomy of conjunctive queries on probabilistic structures. In PODS (2007), 293--302. Google ScholarDigital Library
- Dalvi, N. and Suciu, D. Efficient query evaluation on probabilistic databases. VLDB J. 16, 4 (2007), 523--544. Google ScholarDigital Library
- Dalvi, N. and Suciu, D. Management of probabilistic data: Foundations and challenges. In PODS (Beijing, China, 2007) 1--12 (invited talk). Google ScholarDigital Library
- Darwiche, A. A differential approach to inference in bayesian networks. J. ACM 50, 3 (2003), 280--305. Google ScholarDigital Library
- DeRose, P., Shen, W., Chen, F., Lee, Y., Burdick, D., Doan, A. and Ramakrishnan, R. Dblife: A community information management platform for the database research community. In CIDR (2007), 169--172.Google Scholar
- Deshpande, A., Guestrin, C., Madden, S., Hellerstein, J.M. and Hong, W. Model-driven data acquisition in sensor networks. In VLDB (2004), 588--599. Google ScholarDigital Library
- Fagin, R., Lotem, A. and Naor, M. Optimal aggregation algorithms for middleware. In Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (2001), ACM Press, 102--113. Google ScholarDigital Library
- Friedman, N., Getoor, L., Koller, D. and Pfeffer A. Learning probabilistic relational models. In IJCAI (1999), 1300--1309. Google ScholarDigital Library
- Fuhr, N. and Roelleke, T. A probabilistic relational algebra for the integration of information retrieval and database systems. ACM Trans. Inf. Syst. 15, 1 (1997), 32--66. Google ScholarDigital Library
- Grädel, E., Gurevich, Y. and Hirsch, C. The complexity of query reliability. In PODS (1998), 227--234. Google ScholarDigital Library
- Gupta, R. and Sarawagi, S. Creating probabilistic databases from information extraction models. In VLDB (2006), 965--976. Google ScholarDigital Library
- Halevy, A. Answering queries using views: A survey. VLDB J. 10, 4 (2001), 270--294. Google ScholarDigital Library
- Imielinski, T. and Lipski, W. Incomplete information in relational databases. J. ACM 31 (Oct. 1984), 761--791. Google ScholarDigital Library
- Jampani, R., Xu, F., Wu, M., Perez, L., Jermaine, C. and Haas, P. MCDB: A Monte Carlo approach to managing uncertain data. In SIGMOD (2008), 687--700. Google ScholarDigital Library
- Jayram, T., Kale, S. and Vee, E. Efficient aggregation algorithms for probabilistic data. In SODA (2007). Google ScholarDigital Library
- Kanagal, B. and Deshpande, A. Online filtering, smoothing and probabilistic modeling of streaming data. In ICDE (2008), 1160--1169. Google ScholarDigital Library
- Lafferty, J., McCallum, A. and Pereira, F. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML (2001). Google ScholarDigital Library
- Lakshmanan, L., Leone, N., Ross, R. and Subrahmanian, V. Probview: A flexible probabilistic database system. ACM Trans. Database Syst. 22, 3 (1997). Google ScholarDigital Library
- Nierman, A. and Jagadish, H. ProTDB: Probabilistic data in XML. In VLDB (2002), 646--657. Google ScholarDigital Library
- Olteanu, D., Huang, J. and Koch, C. SPROUT: Lazy vs. eager query plans for tuple independent probabilistic databases. In ICDE (2009). Google ScholarDigital Library
- Rastogi, V., Suciu, D. and Hong, S. The boundary between privacy and utility in data publishing. In VLDB (2007). Google ScholarDigital Library
- Ré, C., Dalvi, N. and Suciu, D. Efficient Top-k query evaluation on probabilistic data. In ICDE (2007).Google Scholar
- Ré, C., Suciu, D. Efficient evaluation of having queries on a probabilistic database. In Proceedings of DBPL (2007). Google ScholarDigital Library
- Ré, C. and Suciu, D. Materialized views in probabilistic databases for information exchange and query optimization. In Proceedings of VLDB (2007) Google ScholarDigital Library
- Ré, C., Letchner, J., Balazinska, M. and Suciu, D. Event queries on correlated probabilistic streams. In SIGMOD (Vancouver, Canada, 2008). Google ScholarDigital Library
- Roth, D. On the hardness of approximate reasoning. Artif. Intell. 82, 1--2 (1996), 273--302. Google ScholarDigital Library
- Sen, P. and Deshpande, A. Representing and querying correlated tuples in probabilistic databases. In ICDE, 2007.Google ScholarCross Ref
- Soliman, M.A., Ilyas, I.F. and Chang, K.C.-C. Probabilistic top- and ranking-aggregate queries. ACM Trans. Database Syst. 33, 3 (2008). Google ScholarDigital Library
- Vardi, M.Y. The complexity of relational query languages. In Proceedings of 14th ACM SIGACT Symposium on the Theory of Computing (San Francisco, California, 1982), 137--146. Google ScholarDigital Library
- Verma, T. and Pearl, J. Causal networks: Semantics and expressiveness. Uncertainty Artif. Intell. 4 (1990), 69--76. Google ScholarDigital Library
- Wong, E. A statistical approach to incomplete information in database systems. ACM Trans. Database Syst. 7, 3 (1982), 470--488. Google ScholarDigital Library
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- Probabilistic databases: diamonds in the dirt
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