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A Study of Data-Excavating Technique in Oil and Gas Geochemical Exploration

Author: ChengJun
Tutor: HuXueGang
School: Hefei University of Technology
Course: Applied Computer Technology
Keywords: Oil and gas geochemical Intelligent Decision Support System Data Mining Data preprocessing Rough Set Attribute selection algorithm
CLC: TP399
Type: Master's thesis
Year: 2002
Downloads: 90
Quote: 0
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Abstract


This paper focuses on data mining technology in the intelligent decision support system , designed and implemented under the on-site survey information and analysis of test information data mining system , in the management of the system model , the proposed algorithm description table and algorithm selection rule base , algorithm for the management and selection . And use them and process control to achieve the data mining model management, so that the system is universal . , Data preprocessing subsystem includes several key algorithms and models , the mining system in the refining , mining models built on representative data , shortening the mining time and improve the quality of mining . Improved selection algorithm based on rough set attribute the condition attributes interactive concept , and the use of the information gain of information theory to calculate the value of the selection algorithm based on the interaction properties of sub- sets , improved data mining algorithms efficiency and the quality of the knowledge mining . In this paper , the data mining system applies not only to the oil and gas geochemical field decision-making , also apply to auxiliary decision-making process in a variety of areas .

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