Design And Implementation Of The Oil Field Project Cost Management System Based On Data Mining

Over the last decade, as computing technology advances, substantially increased the production and use of information technology to collect data, massive database management software to be used for commercial, government offices, scientific research and engineering development of the field, etc., which a momentum will continue to develop. Thus, a new challenge has been put forward. In this so-called era of information explosion, information has become almost too much to face the problem of everyone. How can we not be drowned by a sea of information, from which to discover useful knowledge and to improve the utilization of this information?For the real data into a company's resources, only the full use of it's own decision-making and strategic business development services, a large amount of data may become a burden, or even garbage. Therefore, in the face of "data people are submerged, while knowledge is still very hungry," the challenges, data mining (Data Mining) technology came into being, and to flourish, more and show its great vitality. Data mining from a large number of incomplete, noisy, fuzzy and random data, extraction of implicit, in which people do not know in advance but is potentially useful information and knowledge process. There are many and the term is similar to similar terms, such as from knowledge discovery in databases (Knowledge Discovery in Database, KDD), data analysis, data integration (Data Fusion), as well as decision-making support.With this concept, the corresponding software implementation have bred and had, like SQL Server, Oracle and other commercial software has data mining correlation algorithm. With the support of the rest of the database is to make it work and business systems in order to complete the integration of specific applications. With the rapid development of the network, B / S structure software that quickly replaced the old C / S structure of the software.This paper analyzes the data mining correlation algorithm to compare database software realization of the corresponding methods to analyze specific business process requirements and the requirements of the software, according to the appropriate software to design the system architecture, and finally achieved in accordance with the requirements based on the B / S and data Mining the oil project cost management system.