
DESIGN AND ANALYSIS OF DATA CLASSIFICATION WITH CONTROL OF SAFETY SCHEMES
Author(s) -
Nirmla Sharma
Publication year - 2020
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2020.v04i10.062
Subject(s) - computer science , control (management) , data mining , reliability engineering , engineering , artificial intelligence
Effective and efficient safety of control system statistics, in terms of both operational difficulty and cost, involves that the types of data used in the system be recognized and classified according to their importance in operating the control system safety. Lastly, the practical execution particulars has defined that will run the level of safety stated by the security profile. The method it has presented in this research paper considers both the criticality of the statistics to the usual processes of the control system and exclusive features of a control system. The goal is a description of a practice for emerging an efficient, effective safety scheme for process control statistics. Our aim is to certify suitable levels of data safety while minimizing influence on the control system processes. Keywords— Control System, Data Classification, Data warehousing, and Statistics