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

Content Provider	IEEE Xplore Digital Library
Author	Sheng-Tun Li Tan-Sheng Li
Copyright Year	2001
Description	Author affiliation: Dept. of Inf. Manage., Nat. Kaohsiung First Univ. of Sci. & Technol., Taiwan (Sheng-Tun Li; Tan-Sheng Li)
Abstract	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 the e-commerce era. 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 Java distributed object computing to tackle the issues of interoperability in heterogeneous environments, namely the 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 an 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.
Sponsorship	Univ. Hawaii College of Bus. Adm
File Size	1391688
File Format	PDF
ISBN	0769509819
DOI	10.1109/HICSS.2001.926308
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-01-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data mining Java Distributed computing Data visualization Visual databases Machine learning Information management Electronic commerce Power system modeling Iris
Content Type	Text
Resource Type	Article

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