Mining knowledge from engineering materials database for data analysis

Abstract

With growing science and technology in manufacturing industry, an electronic database as grown in a diverse manner. In order to maintain, organizing and analyzing application-driven databases, a systematic approach of data analysis is essential. The most succeeded approach for handling these problems is through advanced database technologies and data mining approach. Building the database with advance technology and incorporating data mining aspect to mine the hidden knowledge for a specific application is the recent and advanced data mining application in the computer application domain. Here in this article, association rule analysis of data mining concepts is investigated on engineering materials database built with UML data modeling technology to extract application-driven knowledge useful for decision making in different design domain applications.