An effective approach to mine relational patterns and its extensive analysis on multi-relational databases Online publication date: Tue, 29-Jul-2014
by D. Vimal Kumar; A. Tamilarasi
International Journal of Data Mining, Modelling and Management (IJDMMM), Vol. 5, No. 3, 2013
Abstract: The real world applications of data mining necessitate more complicated solutions when the data includes large quantity of records in several tables of relational database. One of the possible solutions is multi-relational pattern mining, which is a form of data mining applicable to data in multiple tables. In this paper, we have developed an effective approach to mine relational patterns from multi-relational database. Initially, the multi-relational database is represented using a tree-based data structure without changing their relations. A tree pattern mining algorithm is devised and applied on the constructed tree-based data structure for extracting the frequent relational patterns. Experimentation is carried out on two different databases and the results are compared with the previous approach using number of similar relational patterns generated and the computation time. The comparative analysis shows that the proposed approach is more effective in mining performance and computation time compared to the previous approach.
Online publication date: Tue, 29-Jul-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Mining, Modelling and Management (IJDMMM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com