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Based on Rough Set Attribute Reduction of the data mining system

Author: YinQiaoZhen
Tutor: CuiGuangCai
School: Changchun University of Science and Technology
Course: Applied Computer Technology
Keywords: Data Mining Rough Set Heritage Algorithm Attribute Reduction Heuristic Algorithm
CLC: TP311.13
Type: Master's thesis
Year: 2002
Downloads: 182
Quote: 4
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Abstract


Data mining is a database field in recent years, the emergence of a new research focus , which is to acquire knowledge from large amounts of data . Many methods for data mining , rough set method is one of the main methods. This paper studies attribute reduction based on rough set data mining system . This paper studies on rough set theory , and in the analysis and synthesis based on rough set theory based on data mining algorithms , we propose two new attribute reduction method , which is based on genetic algorithms and heuristic reduction algorithm . The data mining system consists of two parts, one generation rule , the use of attribute reduction attribute reduction algorithm to derive rules ; Second, classification rules , the rules of classification has been generated using the new object . Through the experiment, application examples that article provides a method is feasible , with good results .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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