Web Application for discovering Association Rules in Social Welfare Data Base
Carlos Enrique Gutierrez, Mohammad Reza Alsharif · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2008
The current algorithms for fiding association rules are mainly batch processes. Several efforts are carried out to improve the algorithm’s performance and response’s speed. Besides that the dynamic and quick search of knowledge is becoming a necessity in the traditional Data Mining techniques. In this paper we explain step by step our web implementation of a fast asociation rules’ retrieval system in order to provide useful information to take decisions. Our system is based on the creation of temporary tables and the use of Structured Query Language “SQL” that allow a good exploitation of the database engine’s advantages. We present a simple web interface where the user chooses the attributes on which the mining algorithm will be executed.