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Querying Imprecise Data in Moving Object Environments
September 2004 (vol. 16 no. 9)
pp. 1112-1127
ASCII Text
x 
 
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabhakar, "Querying Imprecise Data in Moving Object Environments," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 9, pp. 1112-1127, September, 2004.
 
 
BibTex
x
 
@article{ 10.1109/TKDE.2004.46,
author = {Reynold Cheng and Dmitri V. Kalashnikov and Sunil Prabhakar},
title = {Querying Imprecise Data in Moving Object Environments},
journal ={IEEE Transactions on Knowledge and Data Engineering},
volume = {16},
number = {9},
issn = {1041-4347},
year = {2004},
pages = {1112-1127},
doi = {http://doi.ieeecomputersociety.org/10.1109/TKDE.2004.46},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Knowledge and Data Engineering
TI - Querying Imprecise Data in Moving Object Environments
IS - 9
SN - 1041-4347
SP1112
EP1127
EPD - 1112-1127
A1 - Reynold Cheng,
A1 - Dmitri V. Kalashnikov,
A1 - Sunil Prabhakar,
PY - 2004
KW - Data uncertainty
KW - probabilistic queries
KW - range queries
KW - nearest-neighbor queries.
VL - 16
JA - IEEE Transactions on Knowledge and Data Engineering
ER -
 
In moving object environments, it is infeasible for the database tracking the movement of objects to store the exact locations of objects at all times. Typically, the location of an object is known with certainty only at the time of the update. The uncertainty in its location increases until the next update. In this environment, it is possible for queries to produce incorrect results based upon old data. However, if the degree of uncertainty is controlled, then the error of the answers to queries can be reduced. More generally, query answers can be augmented with probabilistic estimates of the validity of the answer. In this paper, we study the execution of probabilistic range and nearest-neighbor queries. The imprecision in answers to queries is an inherent property of these applications due to uncertainty in data, unlike the techniques for approximate nearest-neighbor processing that trade accuracy for performance. Algorithms for computing these queries are presented for a generic object movement model and detailed solutions are discussed for two common models of uncertainty in moving object databases. We study the performance of these queries through extensive simulations.

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Index Terms:
Data uncertainty, probabilistic queries, range queries, nearest-neighbor queries.
Citation:
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabhakar, "Querying Imprecise Data in Moving Object Environments," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 9, pp. 1112-1127, Sept. 2004, doi:10.1109/TKDE.2004.46
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