Data Quality Evaluation Method Based on Rule Base
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In today's era of big data, data quality is the premise of the significance of big data. The evaluation of data quality is one of the most important research topics. In this paper, the data quality assessment method based on rule base is put forward, and the overall model of data quality assessment is presented, which includes rules, rule base, data quality evaluation index, evaluation model and evaluation report. This paper designs the rule evaluation template, combines rules in the rule base, sets rule weight according to the importance of data quality evaluation index, adopts the evaluation method that combines the simple ratio method and the weighted average method, calculates the evaluation result, determines the grade of the data quality, and shows the evaluation result of data quality with the data visualization technology. In order to fairly and accurately assess the data quality, and concisely and intuitively present the evaluation results, the paper does not only consider the execution rate of a single rule, but also considers the proportion of each rule in the data quality evaluation template.

    Reference
    Related
    Cited by
Get Citation

刘芳,李敏,任洪敏,周兆明.基于规则库的数据质量评估方法.计算机系统应用,2017,26(11):165-169

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:February 23,2017
  • Revised:March 09,2017
  • Adopted:
  • Online: October 30,2017
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063