Data mining of machine design elements using AI techniques

Abstract

Data Mining is the process of extracting knowledge, hidden from large volume of raw data. AI is about simulating human intelligence. The project aims at proving that Data mining methods can be realized in Mechanical Engineering Industries. To prove this we have created a Database containing design elements and have made the process to retrieved design elements as per the requirements. The same when applied to any industry, it can be proved beneficial and also cut down a lot of time wasted due to human in efficiency. This includes several steps:
1. Design a Database which stores data,
2. using asp.net code to retrieve the data,
Data mining techniques viable tools for determining interesting patterns, clustering the parameter space, detecting anomalies in the simulation results, and for designing improved physical models. In mechanical industries, this technology can be used for a variety of jobs like forecasting, file management, providing information regarding the availability of material in production processes and also failure analysis in maintainance industries. The project mainly deals with building a huge database, collecting data from data-book, using SQL server 2000. retrieval is done using asp.net programming on WINDOWS 2003 Enterprise Edition platform.