| Image Post-Processing Method for Visual Data Mining |
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| 引用本文： | REN Yong-gong YU Ge. Image Post-Processing Method for Visual Data Mining[J]. 武汉大学学报:自然科学英文版, 2006, 11(1): 15-20. DOI: 10.1007/BF02831696 |
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| 作者姓名： | REN Yong-gong YU Ge |
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| 作者单位： | [1]School of Information Science and Engineering, Northeastern University, Shenyang 110004, Liaoning, China [2]School of Computer and Information Technology,Liaoning Normal University, Dalian 116029, Liaoning, China |
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| 基金项目： | Supported by the National Natural Science Foundation of China （60173051）, the Teaching and Research Award Program for 0utstanding Young Teachers in Higher Education Institutions of Ministry of Education of China, and Liaoning Province Higher Education Research Foundation （20040206）. |
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| 摘 要： | Visual data mining is one of important approach of data mining techniques. Most of them are based on computer graphic techniques but few of them exploit image-processing techniques. This paper proposes an image processing method, named RNAM （resemble neighborhood averaging method）, to facilitate visual data mining, which is used to post-process the data mining result-image and help users to discover significant features and useful patterns effectively. The experiments show that the method is intuitive, easily-understanding and effectiveness. It provides a new approach for visual data mining.
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| 关 键 词： | 图象处理 数据挖掘 数据可视化 后处理法 |
| 文章编号： | 1007-1202（2006）01-0015-06 |
| 收稿时间： | 2005-05-10 |
Image post-processing method for visual data mining |
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| Ren Yong-gong,Yu Ge. Image post-processing method for visual data mining[J]. Wuhan University Journal of Natural Sciences, 2006, 11(1): 15-20. DOI: 10.1007/BF02831696 |
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| Authors: | Ren Yong-gong Yu Ge |
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| Affiliation: | (1) School of Information Science and Engineering, Northeastern University, 110004 Shenyang, Liaoning, China;(2) School of Computer and Information Technology, Liaoning Normal University, 116029 Dalian Liaoning, China |
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| Abstract: | Visual data mining is one of important approach of data mining techniques. Most of them are based on computer graphic techniques but few of them exploit image-processing techniques. This paper proposes an image processing method, named RNAM (resemble neighborhood averaging method), to facilitate visual data mining, which is used to post-process the data mining result-image and help users to discover significant features and useful patterns effectively. The experiments show that the method is intuitive, easily-understanding and effectiveness. It provides a new approach for visual data mining. |
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| Keywords: | visual data mining data visualization image processing |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
