چكيده فارسي :
In the last three decades, the modern technologies like machine learning, data mining and big data mining have been applied in different commercial and industrial fields, specially, in the data reach automotive industry. These modern technologies benefit, however, from statistics which is a relative older discipline.
The amount of the structured and unstructured data that are generated and collected in the automotive industry is huge with ascending trend. The data are produced during different phases of the vehicle lifecycle like development, production, sales and aftersales. A part of the generated data in the social networks can be attractive for the automotive industry as well.
Supply chain management, quality and safety management, customer relationship management and some aspects of risk management are some areas for application of data mining and big data mining in the automotive industry. Data mining and big data mining will play even a more important role in future of the automotive industry, specially, in conjunction with the topics like autonomous driving, Industry 4.0 and emission reduction management.
The talk outlines the application potential of data mining and big data mining in the automotive industry by presenting a couple of application cases and gives a perspective about the future development
