Please use this identifier to cite or link to this item: https://doi.org/10.1109/ISISE.2008.271
Title: Quantifying accuracy dimension within available context
Authors: Han, J.
Jiang, D. 
Song, A.
Keywords: Accuracy dimension
Context
Data quality
Entropy
Information theory
Issue Date: 2008
Source: Han, J., Jiang, D., Song, A. (2008). Quantifying accuracy dimension within available context. 2008 International Symposium on Information Science and Engineering, ISISE 2008 1 : 214-218. ScholarBank@NUS Repository. https://doi.org/10.1109/ISISE.2008.271
Abstract: We propose a novel approach to automatically Quantify Accuracy within Context (QAC). Accuracy can be gauged by discrepancy between data view and its entity's perfect representation. Since it is difficult to obtain the perfect representation of entity, we propose to approximate perfect representation within its available context and accuracy can be quantified in the context. By naturally borrowing entropy concepts from information theory, the measure is easily given for different types of data. In this way accuracy is properly quantified. Our QAC approach can not only give an objective score and ranking in a cooperative multi-source environment but also avoid human's laborious interaction. Theory and experiment shows our approach performs well for quantifying accuracy. © 2008 IEEE.
Source Title: 2008 International Symposium on Information Science and Engineering, ISISE 2008
URI: http://scholarbank.nus.edu.sg/handle/10635/41257
ISBN: 9780769534947
DOI: 10.1109/ISISE.2008.271
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Jan 17, 2018

WEB OF SCIENCETM
Citations

1
checked on Nov 19, 2017

Page view(s)

57
checked on Jan 14, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.