logo

Impact of Data Mining in Automotive Industry

   

Added on  2023-03-31

10 Pages1732 Words163 Views
Data Science and Big DataArtificial IntelligenceMechanical Engineering
 | 
 | 
 | 
Running Head: IMPACT OF DATA MINING IN AUTOMATIVE INDUSTRY
IMPACT OF DATA MINING IN AUTOMATIVE INDUSTRY
Name of the Student
Name of the University
Author Note
Impact of Data Mining in Automotive Industry_1

1IMPACT OF DATA MINING IN AUTOMATIVE INDUSTRY
Table of Contents
Part 1..........................................................................................................................................2
Part 2..........................................................................................................................................2
Part 3..........................................................................................................................................3
Part 4..........................................................................................................................................3
Process model diagram..............................................................................................................5
Impact of Data Mining in Automotive Industry_2

2IMPACT OF DATA MINING IN AUTOMATIVE INDUSTRY
Part 1
Data mining is a platform that ensures a transformation in the process in the
functioning of the automotive industry. The transformation in the terms of analytics. With the
assistance of the data mining process predictive analytics can be transformed into optimizing
analytics. Hence betterment in target achievement and quality control area gets benefitted.
Drawing conclusion with the assistance of the data that is collected via the platform of the
data mining process ensures that higher accuracy is achieved. As per data mining
terminologies knowledge extraction process is dependent on the fundamental set of ideas
from which the models can be derived from (Alkahtani et al, 2019). The algorithms present in
the models are the main driving force that makes the entire functioning happen. Designing
errors have been proving to be costly and hence the main issue that is present is that the
efficiency in the process decreases. This decrease in the efficiency in the process includes
defects in sketch level production system. in case issue is present in the sketch level of the
designing process, it is expected that the entire process will be performed with higher risk. As
per data mining in the section of analytics this issue can be mitigated.
Part 2
3 processes by which data mining will incorporate eruption are as follows: -
Designing and manufacturing will be the most highly affected section after the
introduction of the data mining process. With the assistance of the processing of the
data mining the main benefit that tracking of changes that are required in the design
phase can be easily estimated and design quality gets better. Hence manufacturing
part gets better.
Another department that will be highly benefitted due to the incorporation of the data
mining is usage and management. The main issue that is faced in the automotive
Impact of Data Mining in Automotive Industry_3

End of preview

Want to access all the pages? Upload your documents or become a member.

Related Documents
Impact of Data Mining in Automotive Industry
|12
|2109
|55

Impact of Cryptocurrency in Shipping Industry
|10
|1450
|274

Data Mining in Automotive Industry
|7
|582
|88

IoT Mining Industry: Benefits and Challenges
|20
|5832
|307

IOT IOT IN MINING.
|3
|340
|61

Data Mining: Definition, Importance, and Problems
|9
|1578
|474