Data mining-based engineering project grading technique
文献类型:会议论文
作者 | Chang CG(常春光)![]() |
出版日期 | 2008 |
会议名称 | 7th World Congress on Intelligent Control and Automation |
会议日期 | June 25-27, 2008 |
会议地点 | Chongqing, China |
关键词 | Data mining Engineering project Grading Decision tree C4.5 algorithm |
页码 | 3542-3546 |
通讯作者 | 常春光 |
中文摘要 | The purpose of this paper is to improve the quality of engineering project grading, the basic processes of data mining technique are introduced. Taking the engineering project grading as background, the implement cycles such as business understanding, data understanding, data preparation, modeling, evaluation and deployment are studied in detail. During modeling, the decision tree is adopted as analyzing modeling, and the conventional C4.5 algorithm is adapted. The adapted algorithm is applied to the engineering project grading, and its result is compared with that of conventional C4.5 algorithm. The comparing result demonstrates that for the complex system such as engineering project grading, it can improve in a certain extent on precision and obtained structure of decision tree, it can improve the quality of engineering project grading. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议主办者 | Chongqing Univ, Chongqing Inst Technol, Chongqing Univ Sci & Technol, Xihua Univ, SW Univ Sci & Technol, IEEE Robot & Automat Soc, IEEE Control Syst Soc, Beijing Chapter, Chinese Assoc Automat, Chinese Assoc Artificial Intell, Natl Nat Sci Fdn, Chongqing Municipal Sci & Technol Comm, Chongqing Municipal Assoc Sci & Technol, KC Wong Educ Fdn |
会议录 | 2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23
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会议录出版者 | IEEE |
会议录出版地 | NEW YORK |
语种 | 英语 |
ISBN号 | 978-1-4244-2113-8 |
WOS记录号 | WOS:000259965702205 |
源URL | [http://ir.sia.cn/handle/173321/19947] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室_先进制造技术研究室 |
推荐引用方式 GB/T 7714 | Chang CG,Song XY,Gao B,et al. Data mining-based engineering project grading technique[C]. 见:7th World Congress on Intelligent Control and Automation. Chongqing, China. June 25-27, 2008. |
入库方式: OAI收割
来源:沈阳自动化研究所
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