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The dichotomy of conjunctive queries on probabilistic structures
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Symposium on Principles of Database Systems archive
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems table of contents
Beijing, China
SESSION: Privacy, probabilistic databases table of contents
Pages: 293 - 302  
Year of Publication: 2007
ISBN:978-1-59593-685-1
Authors
Nilesh Dalvi  University of Washington
Dan Suciu  University of Washington
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 84,   Citation Count: 17
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ABSTRACT

We show that for every conjunctive query, the complexity of evaluating it on a probabilistic database is either PTIME or P-complete, and we give an algorithm for deciding whether a given conjunctive query is PTIME or P-complete. The dichotomy property is a fundamental result on query evaluation on probabilistic databases and it gives a complete classification of the complexity of conjunctive queries.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Nilesh Dalvi and Dan Suciu. Efficient query evaluation on probabilistic databases. In VLDB, 2004.
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Christopher Re, Nilesh Dalvi, and Dan Suciu. Query evaluation on probabilistic databases. IEEE Data Engineering Bulletin, 29(1):25--31, 2006.
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L. Valiant. The complexity of enumeration and reliability problems. SIAM J. Comput., 8:410--421, 1979.
 
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Jennifer Widom. Trio: A system for integrated management of data, accuracy, and lineage. In CIDR, 2005.

CITED BY  17