Abstract
In connection with the need to extract useful knowledge from a large power-system database, an application software is developed for data mining. The design based on object-oriented approach is described which minimises wastage of development effort and facilitates modular expansion as the scope for solving data-mining problems evolves.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco (2001)
Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. MIT, USA (2001)
Shepherd, G., Wingo, S.: MFC Internals. Addison-Wesley, Reading (1996)
Microsoft Corporation. Microsoft SQL Server 7.0 Data Warehousing Training Kit. Microsoft Press, Redmond (2000)
Bain, T., et al.: Professional SQL Server 2000 Data Warehousing with Analysis Services, Wrox (2000)
Prosise, J.: Programming Windows with MFC. Microsoft Press, Redmond (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ho, HK., Tso, S.K. (2003). Design of Data-Mining Application Software Based on Object-Oriented Approach. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_106
Download citation
DOI: https://doi.org/10.1007/978-3-540-45080-1_106
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40550-4
Online ISBN: 978-3-540-45080-1
eBook Packages: Springer Book Archive