Title :
Using Data Mining Techniques for Predicting Future Car market Demand; DCX Case Study
Author :
Al-Noukari, Mouhib ; Al-Hussan, Wael
Author_Institution :
Arab Int. Univ., Damascus
Abstract :
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.
Keywords :
automobile manufacture; data mining; market opportunities; car manufacturing; data mining techniques; future car market demand; launch analysis; slow turning analysis; Bismuth; Data mining; Databases; Engineering management; Manufacturing; Packaging; Power system management; Power system modeling; Turning; Vehicles; Data mining; car market; knowledge discovery; launch analysis; slow turning analysis;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530367