Data mining combining data walkthrough

被引：0

作者：

Ohkura, M ^{[1
]}

Shimizu, M ^{[1
]}

Kakizawa, Y ^{[1
]}

Nakayama, N ^{[1
]}

机构：

[1] Shibaura Inst Technol, Omiya, Saitama 3308570, Japan

来源：

VSMM 2000: 6TH INTERNATIONAL CONFERENCE ON VIRTUAL SYSTEMS AND MULTIMEDIA | 2000年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Data mining is a method to discover unknown and useful knowledge from large amount of data, and various discovering methods have been proposed including methods using machine-learning algorithms. In this study, a new method is proposed in which data mining procedure is accomplished by the walkthrough of a business expert in the artificial space of preprocessed data. The features of this new method are the coupling of visualization and analytical procedure in data mining process, using the knowledge of the business expert as the heuristics of the data mining algorithm, and using artificial 3-dimensional immersive data space in which the business expert can exist, investigate, and manipulate data. The artificial immersive data space is generated by the techniques in virtual reality.

引用

页码：483 / 489

页数：7

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