Inscrit le: 02 Avr 2016
|Posté le: Ven 7 Juil - 22:19 (2017) Sujet du message: A KnowledgeBased Approach To Assisting In Data Quality Ju
Excerpt from A Knowledge-Based Approach to Assisting in Data Quality Judgement
It is worth noting relationship between quality parameters and quality indicators. The essential distinction among quality indicators and quality parameters is that quality indicators are intended (primarily) to represent objective information about the data manufacturing process [wang Kon, Quality parameters, however, can be user or application-specific, and are derived from either underlying quality indicators or other quality parameters. The topology of the quality hierarchy in this paper is: a single quality parameter being derived from n underlying quality parameters. Each underlying quality parameter, in turn, could be derived from either its underlying quality parameters or quality indicators. For example, a user may conceptualize quality parameter Credibility as one depending on underlying quality parameters such as Source-reputation and Timeliness. The quality parameter Source-reputation, in turn, can be derived from quality indicators such as the number of times that a source supplies obsolete data. This paper assumes that such derivations are complete, and that relevant quality parameter values are available.
About the Publisher
Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com
This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.
bound: 22 pages
publisher: Forgotten Books (April 18, 2017)
isbn: 1334300607, 978-1334300608,
weight: 2.9 ounces (