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A creative approach to reusing data in enterprise system by introducing a sense-experience-knowledge framework

Zou, L, Liu, Q, Che, H and Yang, H (2017) 'A creative approach to reusing data in enterprise system by introducing a sense-experience-knowledge framework.' In: Proceedings: 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC). IEEE Computer Society, Los Alamitos, pp. 425-430. ISBN 9781538603673

Abstract

For organisations, there is a lot of duplicate information, vast volume of data, enormous news and publications, which requires real time enterprise systems to discover useful knowledge. A real time enterprise system can be developed based on Service-Oriented Architecture (SOA) and Component based Development (CBD). However, current SOA and CBD have limitations to upgrade itself since they are very costly and time consuming. It is extremely hard to predict the future services and components in a pre-designed enterprise system. Therefore, the proposed research aims to help enterprise systems to predict services and components by adding a creative data mining step in enterprise system, so that existing data in both external and internal enterprise system will be reused for organisations to save budget and time. Traditionally, data mining and data analysis aim to predict, rather than to create. For the purpose of satisfying the business needs and developing data mining techniques, the proposed research reverses the objectives of data analysing, by introducing the Sense-Experience-Knowledge Framework (SEK framework). The approach is adopted to solve the problem by modifying the data mining process, the services and components of enterprise system will be created then predicted to fulfill the characters of reuse. The proposed research theoretically provides a unique viewpoint of reusing business related information. Further studies and application should be researched in next stage.

Item Type: Book Chapter or Section
Note:

ISSN 0730-3157

Divisions: College of Liberal Arts
Date Deposited: 17 May 2017 11:46
Last Modified: 04 Jan 2018 16:50
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