Investigation and Interpersonal Relationship of College Students with Intelligent Big Data

Abstract

An interpersonal relationship is a relationship that arises and develops in the process of people's extensive material and spiritual exchanges. College students, as a special group, not only have the general characteristics of modern young people's interpersonal communication but also have remarkable characteristics of their own communication. The purpose of this paper is to study how to use intelligent big data to conduct a brief survey and research on the interpersonal relationships of college students so that college students can discover their own problems and establish sound and good interpersonal relationships. This paper proposes data mining based on intelligent big data. Data mining plays an important role in information processing. Data mining includes many algorithms. This paper selects cluster analysis for the need to classify the influencing factors in interpersonal relationships. The cluster analysis algorithm can classify similar information well. The experimental results of this paper show that the most important skills given by the five companies that are considered to be necessary for talents are the interpersonal relationship, self-ability, and academic qualifications. Among them, five companies gave the highest score of 8.9 points to the interpersonal relationship and the lowest score of 8.0 points, with an average of about 8 points, while the scores of their own ability and education were below 8 points. It can be seen that entrepreneurs think that the necessary skills for talents are not academic qualifications and their own abilities but good interpersonal relationships. Therefore, it is very important to establish good interpersonal relationships.