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Mathematical Principles of Big Data Intelligence
Zhaohao Sun
PNG University of Technology
Abstract:
We are living in an age of trinity: big data, analytics and artificial intelligence (AI). This paper first
introduces the characteristics of this age of trinity, and demonstrates Intelligent Big Data Intelligence
and Intelligent Analytics as the core of the age of trinity with applications. Then it proposes a strategic
framework of Big Data Intelligence. The framework examines intelligent Big Data Intelligence as a
science, technology, system, analytics, service and management. Then it examines the mathematical
foundations, theories and principles of intelligent big data analytics. The presentation also shows that
Intelligent Big Data Analytics = AI + Big Data Analytics with applications. It presents several
mathematical results for Big Data Intelligence based on mathematical logic, fuzzy logic, algebra and
calculus. It introduces the presenter’s research in applied mathematics, big data, AI and intelligent big
data analytics in the past three decades. The approach proposed in the paper might facilitate the
research and development of big data, intelligent big data analytics, intelligent business analytics and
business intelligence as well as applied mathematics with their applications.
For detail, see,
https://www.researchgate.net/publication/329363923_Mathematical_Principles_of_Big_Data_Intell
igence, DOI: 10.13140/RG.2.2.23554.94400/1
2018-12-4
我们生活在大数据、分析和人工智能的三位一体化的时代。这一文章首先探讨这一时代的特
征,证明大数据智能和智能分析学处于这个一体化时代的中心。然后这一讲座给出一个大数据
智能的战略框架结构,讨论作为科学、技术、系统、analytics、服务和管理的大数据智能。这
一讲座然后探讨大数据智能的数学基础、理论和原理,证明了 Intelligent Big Data Analytics = AI
+ Big Data Analytics,给出了若干有关大数据智能的数理逻辑、模糊逻辑、代数和分析结果。这
一文章也介绍作者三十年来在应用数学、人工智能、大数据、大数据智能和智能分析学的教学
和研究历程。讲座提到的思想和方法将有利于大数据、大数据分析学、商务智能和人工智能及
应用数学的研究与发展。