Application Strategy of Probability Theory and Mathematical Statistics in Big Data Analysis
- DOI
- 10.2991/aebmr.k.220405.353How to use a DOI?
- Keywords
- Probability theory; Mathematics; Statistics; Big data
- Abstract
Since the 21st century, the rapid development and promotion of the Internet has caused data to show a geometric growth, which has ushered in the era of big data in my country. Because big data has the characteristics of large scale, fast growth, and sparseness, this also brings great difficulties to big data analysis. In the era of big data, it is a simple and efficient method to use probability theory and mathematical statistics to analyze and mine complex data. In people’s production and life, probabilistic knowledge has been widely used in all aspects. It is an important tool for a deeper understanding of the world. Through the application of probability and mathematical statistics tools, people can make calm and scientific analysis of various complex problems and data, so that people’s quality of life can be significantly improved, and accurately predict the evolution law and development trend of things based on the existing data. It is precisely because of these advantages that probability theory and mathematical statistics have become the guidelines for many complex problems. Nowadays, people’s demand for big data analysis is becoming more and more urgent, which also makes people urgently need an effective method that can be applied to big data analysis to solve complex problems in actual production and life. In view of this, the following will discuss the relevant application strategies of probability theory and mathematical statistics in big data analysis, hoping to provide corresponding reference suggestions for people’s big data analysis in production and life.
- Copyright
- © 2022 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license.
Cite this article
TY - CONF AU - Hechenjin Yu PY - 2022 DA - 2022/04/29 TI - Application Strategy of Probability Theory and Mathematical Statistics in Big Data Analysis BT - Proceedings of the 2022 7th International Conference on Social Sciences and Economic Development (ICSSED 2022) PB - Atlantis Press SP - 2100 EP - 2103 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.220405.353 DO - 10.2991/aebmr.k.220405.353 ID - Yu2022 ER -