Damped harmonic oscillator model for analyzing the dynamic characteristics of STM system

Liu, A. P.; Yao, Xing-Xing; Wang, X.; Yang, Degang; Zhang, X. M.

doi:10.1142/s0217979215420084

Cited by 1 publication

(1 citation statement)

References 14 publications

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“…Mining. After years of exploration and research, people have summarized the basic process of data mining technology [17,18]. It includes cleaning, extracting, and transforming the required data from the initial data that has not been cleaned up, generating a data set, establishing a classification or clustering model on this, and finally extracting and analyzing the information [19] (the specific process is shown in Figure 2).…”

Section: Main Process Of Datamentioning

confidence: 99%

Influence Model of Analyzing the Effect of Mental Health Level Based on Big Data Mining System

Wang

2022

Scientific Programming

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In order to explore the effect of big data mining system on analyzing mental health level, this paper proposes to influence model of analyzing the effect of mental health level based on big data mining system. Through continuous testing and analysis, the main symptom affecting students’ mental health is obsessive-compulsive disorder. Therefore, taking obsessive-compulsive disorder as the classification target to view the model, in this application, the factor of compulsion in students’ psychology occupies a relatively high proportion. Anxiety, interpersonal relationship, and paranoia have a great impact on goal attribute obsessive-compulsive disorder. The results showed that if the degree of anxiety = medium, there was a tendency of obsessive-compulsive disorder regardless of the degree of interpersonal relationship. If anxiety level = none, when paranoia level = [mild, moderate], obsessive-compulsive symptoms level = mild, and when paranoia level = none, it is related to interpersonal relationship and hostility. If the degree of paranoia = “severe” or “extremely severe”, the degree of obsessive-compulsive symptoms = none. If the degree of anxiety = light, there is a tendency of obsessive-compulsive disorder regardless of the degree of interpersonal relationship. If the degree of anxiety = severe, the degree of obsessive-compulsive symptoms = moderate. If the degree of depression = medium, the degree of anxiety = medium. If the degree of depression = none, when the degree of terror = medium, the degree of anxiety = light, and when the degree of terror = [none, light, heavy], there is almost no anxiety. If the degree of depression = mild and the degree of obsessive-compulsive symptoms = none, there is no anxiety tendency. If the degree of depression = severe, the degree of anxiety = severe. If the degree of depression = medium, the degree of interpersonal relationship = medium. If the degree of depression = none, when the degree of terror = light and there is psychosis, the degree of interpersonal relationship = light. If the degree of depression = mild and there is obsessive-compulsive disorder, there are problems in interpersonal relationship. The data analysis of mental health problems has been greatly improved, verifying the reliability of the application of data mining systems in mental health evaluation systems.

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Section: Main Process Of Datamentioning

confidence: 99%

Influence Model of Analyzing the Effect of Mental Health Level Based on Big Data Mining System

Wang

2022

Scientific Programming

View full text Add to dashboard Cite

show abstract

Damped harmonic oscillator model for analyzing the dynamic characteristics of STM system

Cited by 1 publication

References 14 publications

Influence Model of Analyzing the Effect of Mental Health Level Based on Big Data Mining System

Influence Model of Analyzing the Effect of Mental Health Level Based on Big Data Mining System

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