Data Quality Alerting Model for Big Data Analytics

被引：0
|
作者：
Gyulgyulyan, Eliza [1 ,2 ]
Aligon, Julien [2 ]
Ravat, Franck [2 ]
Astsatryan, Hrachya [2 ]
机构：
[1] Natl Acad Sci Republ Armenia, IIAP, 1 Paruyr Sevak Str, Yerevan, Armenia
[2] Univ Toulouse 1 Capitole, IRIT CNRS UMR 5505, 2 Rue Doyen Gabriel Marty, F-31042 Toulouse 9, France
来源：
NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2019 | 2019年 / 1064卷
关键词：
Quality model; Data quality; Big Data analytics;
D O I：
10.1007/978-3-030-30278-8_47
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
During Big Data analytics, correcting all the problems of large, heterogeneous and swift data, in a reasonable time, is a challenge and a costly process. Therefore, organizations are confronted with performing analysis on massive data, potentially of poor quality. This context is the starting point of our current research: how to identify data quality issues and how to notify users without solving these quality issues in advance? To this end, we propose a quality model, as the main component of an alert system, which allow to inform users about data quality issues, during their analysis. This paper discusses about the conceptual and implementation frameworks of the quality model, as well as examples of usage.
引用
收藏
页码：489 / 500
页数：12
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