Book Image

Practical Data Analysis - Second Edition

By : Hector Cuesta, Dr. Sampath Kumar
Book Image

Practical Data Analysis - Second Edition

By: Hector Cuesta, Dr. Sampath Kumar

Overview of this book

Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Table of Contents (21 chapters)
Practical Data Analysis - Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface

Modeling with Cellular Automaton


Cellular Automaton (CA) are the mathematical and computational discrete models created by John von Neumann and Stanislaw Ulam. CA are represented as a grid where, in each cell, a small computation is performed. In CA, we will share the process throughout all the small cells in the grid and the CA shows a behavior similar to biological reproduction and evolution. In this case, we may say that each cell is an individual in our population (grid) that will switch between states depending on its social interaction (contact rate; see SIR and SIRS models).

Seen as discrete simulations of dynamic systems, the CA has been used for modeling in different areas, such as traffic flow, encryption, growth of crystals, bird migration, and epidemic outbreaks. Stephen Wolfram, one of the most influential researchers in CA, describes CA as:

"Cellular automata are sufficiently simple to allow detailed mathematical analysis, yet sufficiently complex to exhibit a wide variety...