Desarrollo de una metodología para la aplicación de la minería de datos en el diseño estructurado de circuitos integrados a muy gran escala (VLSI).

Abstract

We live in a world in which a huge amount of data is generated on a daily basis, where even the amount of data generated daily follows an increasing trend. However, our analysis capabilities are limited, preventing us from analyzing all this data in order to use it to improve our decision making process. This problem is present in many areas of the human endeavor, one of them being the design of very large scale integrated circuits. Precisely in this area, the idea of creating a methodology to develop data mining systems optimized for a specific area is born. That methodology is described, step by step, in this thesis. It is then applied in the area of design of very large scale integrated circuits. The results are explained in detail, demonstrating the effectiveness not only of the methodology, but also of applying data mining techniques to improve the decision making process. The document ends with a list of recommendations to improve the data mining system that was developed. This, through training programs as well as tool and database enhancements.