Interoperable Web-based data mining system by Java distributed object computing

Sheng Tun Li, Tan Sheng Li

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)


The development of Web-based data mining systems has received a lot of attention in recent years. It plays the key-enabling role for competitive businesses in E-commerceera. A cost-effective and prompt approach for this task is to integrate and coordinate existing data mining applications in a seamless manner. In this paper, we propose a new methodology for developing a Web-based data mining system. This system relies on the Java distributed object computing to tackle the issues of interoperability in heterogeneous environments, namely, language, platform, visual object model, and data access. The effectiveness of the proposed system is demonstrated by integrating two powerful data mining tools, SOM_PAK and Nenet, and the experiment on the iris data. The methodology can facilitate the collaboration of intelligent components seamlessly in a "plug-N-work" manner but without re-engineering.

期刊Proceedings of the Hawaii International Conference on System Sciences
出版狀態Published - 2001 1月 1

All Science Journal Classification (ASJC) codes

  • 電腦科學(全部)


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