Page 187 - Data Science Algorithms in a Week

In: Artificial Intelligence ISBN: 978-1-53612-677-8
Editors: L. Rabelo, S. Bhide and E. Gutierrez © 2018 Nova Science Publishers, Inc.

Chapter 8

PREDICTIVE ANALYTICS USING GENETIC

PROGRAMMING

*
Luis Rabelo , Edgar Gutierrez, Sayli Bhide and Mario Marin
Department of Industrial Engineering and Management Systems, University of
Central Florida, Orlando, Florida, US

ABSTRACT

Predictive analytics is defined as the discovery of valuable patterns and relationships
in structured and/or unstructured data environments using statistical and AI techniques to
develop decision making systems that calculate future outcomes. The analyst must
uncover and build an initial underlying structure of the problem and then support
modeling strategies to find appropriate models and abstractions to build a predictive
system. The goal of these predictive systems is to calculate future outcomes (with the
respective risk levels) and tendencies. This paper introduces genetic programming as a
predictive modeling technique which can be the core of a predictive system. To further
explain the introduced framework with genetic programming, an actual case study with
the Reinforced Carbon-Carbon structures of the NASA Space Shuttle is used.

Keywords: Genetic Programming, Evolutionary Algorithms, NASA Shuttle

INTRODUCTION

Traditional analytical approaches assume stability. The new technological trends
such as the recent dramatic increase in computing power and the development of AI

* Corresponding Author Email: luis.rabelo@ucf.edu.