TOWARDS A HIGHLY EXTENSIBLE AND FLEXIBLE MIDDLEWARE FOR DATA MINING

Lai , Ee Hen and Sai, Peck Lee (2007) TOWARDS A HIGHLY EXTENSIBLE AND FLEXIBLE MIDDLEWARE FOR DATA MINING. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/365

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 15 Jul 2013 07:15
Last Modified: 15 Jul 2013 07:15
URI: http://repository.um.edu.my/id/eprint/373

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