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Using Data Mining Techniques for Predicting Future Car market Demand: DCX Case Study

机译:利用数据挖掘技术来预测未来汽车市场需求:DCX案例研究

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Data mining techniques provide people with new power to research and manipulate the existing large volume of data. Data mining process discovers interesting information from the hidden data which can either be used for future prediction and/or intelligently summarizing the details of the data. There are many achievements of applying data mining techniques to various areas such as marketing, medical, financial, and car manufacturing. In this paper, a proposed data mining application in car manufacturing domain is explained and experimented. The application results demonstrate the capability of data mining techniques in providing important analysis such as launch analysis and slow turning analysis. Such analysis help in providing car market with base for more accurate prediction of future market demand.
机译:数据挖掘技术为人们提供了新电源来研究和操作现有的大量数据。数据挖掘过程从隐藏数据中发现有趣的信息,可以用于将来的预测和/或智能地总结数据的细节。将数据挖掘技术应用于各种领域,如营销,医疗,金融和汽车制造。本文解释和实验在汽车制造域中提出的数据挖掘应用。申请结果证明了数据挖掘技术在提供了重要分析中的能力,例如发射分析和慢速分析。这种分析有助于为汽车市场提供基础,以便更准确地预测未来市场需求。

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