An overwhelming amount of data: Applying chaos theory to find patterns within big data
Abstract
This paper introduces basic concepts of chaos theory into the world of big data and real-time big data analysis. It concentrates on demonstrating how chaos theory can be applied to analysing big data, what elements must be present, and what the possible outcomes can be. Although chaos theory contains a few set rules, the paper concentrates on the meaning and importance of the butterfly effect in finding patterns and trends within big data analysis. It should be noted that, although many aspects of the application of chaos theory to big data analytics are largely theoretical or in the infancy of deployment, almost all big data analysing systems active today make use of the essential components contained within chaos theory.
The full article is available to subscribers to the journal.
Author's Biography
Ted Gross has worked in the high tech industry for over 25 years as a CTO and VP of R&D.; Ted’s original entry into programming was in the realm of databases and he has always been fascinated by the patterns that data analysis can reveal. This led to his current study of applying the principles of chaos theory to data analysis. In the past, Ted was also an award-winning blogger and an author of several literary short stories as well as a collection of short stories, ‘Ancient Tales, Modern Legends’. He has written for various journals in the field of literature and comparative religions as well. Ted also publishes various pieces on LinkedIn Pulse from time to time, usually in the field of high tech.
Citation
Gross, Ted (2015, October 1). An overwhelming amount of data: Applying chaos theory to find patterns within big data. In the Applied Marketing Analytics: The Peer-Reviewed Journal, Volume 1, Issue 4. https://doi.org/10.69554/PDWY2342.
Publications LLP