Research On Relevance Thinking From The Perspective Of Big Data

Entering the era of Big Data,Internet technologies and information processing technologies have all experienced rapid development.In particular,the popularization and application of sensor terminal devices,and the use of self-media platforms such as Weibo,Wechat,and Quick Hands,have resulted in a huge amount of information interaction.The database is diverse,time-sensitive,non-linear and unstructured data becomes more and more obvious,and the requirements for data analysis and processing are getting higher and higher.The traditional data processing methods can no longer satisfy the data storage and data analysis.A lot of real-time requirements for unstructured data processing,how to effectively obtain data,analyze data,and use data have become hot issues,and have also led to the development of sophisticated technologies for information processing platforms such as cloud computing and cloud processing.The new technological revolution is happening around big data,and our way of thinking is changing with this data revolution.This article analyzes and summarizes the different definitions of Big Data in different fields.The essential features are the same.The data collection of data in the material world will guide the practice through data mining and analysis,and counteract the connotation features of the material world.From the Chinese people's related thinking to the theme,relevance thinking is a scientific way of thinking.Through the analysis and understanding of“relational thinking,” the related thinking habits are considered from the overall perspective,and the interrelatedness of things is emphasized.Big data technology is based on data mining and analysis of comprehensive data.Therefore,the combination of big data and related thinking is in line with the characteristics of the times,and compared with the traditional way of thinking causal thinking,analyzing the limitations of the times of causal thinking,contrasting The superiority of relevance thinking in the era of big data.Big Data reveals the correlation between data.Data relationships reflect the relationship of things.Relevance thinking is the use of the relevance of such things to effectively guide thinking.Relevance thinking is the mainstream thinking mode in the era of big data.The relevance thinking in the era of big data is a challenge to traditional epistemology that only pursues causal thinking,and it is also a supplement to causal thinking.Data mining has become a new method for knowledge discovery.Increased scientific knowledge production capacity.