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The Research Of Real-time Data Analysis Based On Data Mining

Posted on:2005-12-23Degree:MasterType:Thesis
Country:ChinaCandidate:H W GuanFull Text:PDF
GTID:2168360125471055Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
With the development and amalgamation of data mining, artificial intelligence and mathematics statistics, Data mining comes into being. As a new kind of intelligence data analysis technique in the 1990s, data mining has been recognized because of its vast and applied future for having. Data mining has become a hotspot of database and artificial intelligence area. The method of data mining has been used in many fields and has remarkable achievement.This paper makes a systematic and comprehensive study on data mining .It mainly introduces the definition, process, classification and methods of data mining. Clustering analysis and Outliers mining is the important parts in this paper. This paper expands the application realm of data mining by studying real-time data analysis based on data mining. In this paper, outliers mining approach has been used in analyzing pressure data of pipeline. The author uses Visual C++6.0 to complete compiling corresponding module of whole program. People can judge the occurrence of press, leak, environment interference etc.. Thereby the management in pipeline automation can be increased.The study emphasis of this paper is the macroeconomics method of data analysis and management. The data used in study are collected in natural status. In the fact, many complicated cases are not discussed in this paper because of the limits of time and space. These problems will be studied in the future.Along with the deeply research in outliers mining, this technique wills care the larger function in the financial industry, retail trade, medical treatment and government management.
Keywords/Search Tags:Data mining, Clustering analysis, Outliers, Data pre-procession
PDF Full Text Request
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