Title :
Project Cost Control System Based on Data Mining
Author :
Zhao, Lu ; Ding, Lieyun
Author_Institution :
Sch. of Civil Eng. & Mech., Huazhong Univ. of Sci. & Technol. (HUST), Wuhan, China
Abstract :
Quantitative cost data is produced with the proceeding of project. Cost data, however, only has meaning when they are linked to some other external data e.g., time, asks, participants, etc. to provide the context for that information. Applying Data Mining technique to cost control can help managers improve their capability of cost analyzing, cost monitoring and cost warning. This paper introduced the frame of cost control system base on DM, and provided multi-dimension cost analysis by OLAP technique. Therefore, it can provide visual and reliable decision-making support for different cost control layers.
Keywords :
data mining; financial data processing; financial management; OLAP technique; cost management; cost monitoring; cost warning; data mining technique; multidimension cost analysis; project cost control system; quantitative cost data; Control systems; Costs; Data analysis; Data mining; Databases; Information analysis; Information technology; Monitoring; Phase change materials; Project management; Data mining; OALP technique; multilevel cost control;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.306
