USING A LINEAR REGRESSION MODEL TO PREDICT DATA ENTRY ERRORS IN AUTOMATION SYSTEM
Authors:
1.
Bioclimate Company Ltd, Novosibirsk
2.
Saint-Petersburg university of State fire service of EMERCOM of Russia
Type:
Article
Pages:
from 81
to 86
Status:
Published
Received:
12.09.2017
Accepted:
20.09.2017
Published:
25.09.2017
Language:
Russian
Keywords:
information security, behavioral analytics, quality of information, information stability, linear regression, coefficient of determination, leverage
Abstract (English):
Usage of a linear regression models to determine and rank different factors that threaten the data integrity is discussed. A model that predicts the number of data entry errors depending on five features: working experience, qualification and age of an operator as well as the data entry time and complexity of entered information is presented. Results of modeling can be used for designing and implementing an effective information security policy
Usage of a linear regression models to determine and rank different factors that threaten the data integrity is discussed. A model that predicts the number of data entry errors depending on five features: working experience, qualification and age of an operator as well as the data entry time and complexity of entered information is presented. Results of modeling can be used for designing and implementing an effective information security policy
Keywords:
information security, behavioral analytics, quality of information, information stability, linear regression, coefficient of determination, leverage
information security, behavioral analytics, quality of information, information stability, linear regression, coefficient of determination, leverage
1. Shirlee-ann Knight and Janice Burn. Developing a Framework for Assessing Information Quality on the World Wide Web. Australia: EdithCowan University, Perth, 2005. Vol. 8. Pp. 161-172.
2. John Neter, Michael H. Kutner, Christopher J. Nachtsheim, William Wasserman. Applied Linear Statistical Models. 4E - Illinois: WCB McGraw-Hill, 1996.
