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Top-k Query Processing Techniques in Uncertain Databases: A Review
by
Cherry Khosla,
Parveen Kakkar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 120 - Number 20 |
| Year of Publication: 2015 |
| Authors: Cherry Khosla, Parveen Kakkar |
10.5120/21345-4358
|
Cherry Khosla, Parveen Kakkar . Top-k Query Processing Techniques in Uncertain Databases: A Review. International Journal of Computer Applications. 120, 20 ( June 2015), 33-37. DOI=10.5120/21345-4358
@article{
10.5120/21345-4358,
author = {
Cherry Khosla,
Parveen Kakkar
},
title = { Top-k Query Processing Techniques in Uncertain Databases: A Review },
journal = {
International Journal of Computer Applications
},
issue_date = { June 2015 },
volume = { 120 },
number = { 20 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = {
33-37
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume120/number20/21345-4358/
},
doi = { 10.5120/21345-4358 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:45.057611+05:30
%A Cherry Khosla
%A Parveen Kakkar
%T Top-k Query Processing Techniques in Uncertain Databases: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 20
%P 33-37
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Many applications involving large databases with uncertain data require various techniques to rank queries. Ranking queries (often called as top-k) are useful in answering most important query answers in various domains such as web search, managing sensor data, location tracking, data mining tasks and multimedia. In this survey paper, we describe and classify different top-k processing techniques in probabilistic databases and their implications.
References
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