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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/365

Title: TOWARDS A HIGHLY EXTENSIBLE AND FLEXIBLE MIDDLEWARE FOR DATA MINING
Authors: Ee Hen, Lai
Peck Lee, Sai
Keywords: Data Mining
Middleware
Extensible Plugin
Customizable Plugin
Issue Date: 2007
Abstract: Information are critical assets to an organization. In order to uncover useful information, data mining tools are used to help the organization extract any hidden patterns to assist in decision making. However, software development is always in the process of evolution in order to keep up with the current dynamic environment. Thus, supporting a predefined set of data mining techniques, data sources and reporting formats is insufficient due to frequent change of requirements and expectation from business users. In this paper, we propose the architecture of a middleware for data mining which adopts plugins mechanism to help this so-called data mining middleware achieve extensibility and flexibility by providing wide spectrum of data mining techniques, data sources and reports.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T2-57 - T2-63
URI: http://dspace.fsktm.um.edu.my/handle/1812/365
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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