同济大学学报（自然科学版）2021，Vol.49Issue(z1)：1-10,10.DOI:10.11908/j.issn.0253-374x.227101
数据挖掘推动客户数据驱动车辆的开发进程
Data Mining as an Enabler for Customer Data Driven Vehicle Development
WEGENER Jan 1VAN PUTTEN Sebastiaan 2NEUBECK Jens 3WAGNER Andreas1
作者信息
- 1. 斯图加特大学汽车工程学院,斯图加特70049,德国
- 2. 奥迪股份公司,英戈尔施塔特85049,德国
- 3. 斯图加特汽车工程与车辆发动机研究所,斯图加特70049,德国
- 折叠
摘要
Abstract
Data-driven product development is a key technology for systems engineering especially for consumer-oriented industries such as the automotive industry. The basic prerequisite for all data driven approaches is data itself. Due to the increasing networking capabilities of modern vehicles,automotive manufactures are able to record and store customer data in the form of internal vehicle bus signals. The challenge in using this data is that it is not designed for external use,but for internal communication to ensure the safety and functionality of the vehicle. Therefore,the main question is how to extract customer needs and consumer-relevant information within this data using the process of data mining (DM). Consequently,in this paper,a literature review on the aforementioned use case is conducted. Based on the literature research,a DM simulation game is conducted to determine the suitability of existing DM processes in the area of requirements elicitation. Finally, a process extension is proposed that helps to systematically focus the DM process on customer-relevant information and thus accelerate the overall process.关键词
车辆开发/数据驱动/数据挖掘/跨行业数据挖掘标准流程/数据驱动需求获取Key words
vehicle development/data driven/data mining (DM)/cross-industry standard process for DM (CRISP-DM)/data driven requirements elicitation分类
交通工程引用本文复制引用
WEGENER Jan,VAN PUTTEN Sebastiaan,NEUBECK Jens,WAGNER Andreas..数据挖掘推动客户数据驱动车辆的开发进程[J].同济大学学报（自然科学版）,2021,49(z1):1-10,10.
