Efficient processing of top-k queries in uncertain databases

Ke Yi*, Feifei Li, George Kollios, Divesh Srivastava

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

78 Citations (Scopus)

Abstract

This work introduces novel polynomial-time algorithms for processing top-k: queries in uncertain databases, under the generally adopted model of x-relations. An x-relation consists of a number of x-tuples, and each x-tuple randomly instantiates Into one tuple from one or more alternatives. Our results significantly improve the best known algorithms for top-k query processing in uncertain databases, In terms of both running time and memory usage. Focusing on the single-alternative case, the new algorithms are orders of magnitude faster.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages1406-1408
Number of pages3
DOIs
Publication statusPublished - 2008
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: 7 Apr 200812 Apr 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Country/TerritoryMexico
CityCancun
Period7/04/0812/04/08

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