{"title":"Research on Automatic Monitoring in Students’ Abnormal Online Behavior Based on Data Mining","authors":"S. Liang","doi":"10.23977/iccia2020063","DOIUrl":"https://doi.org/10.23977/iccia2020063","url":null,"abstract":"With the rapid development of big data technology, the data processing ability of all walks of life has been greatly improved. All walks of life can dig out effective information from the data or analyze abnormal data, conduct detailed analysis and detection, effectively deal with some potential security problems, and ensure the safe operation of the industry. For the management of students’ online behavior, big data technology can help managers collect students’ online behavior data, extract valuable information from the data through a series of algorithms, and identify the students with abnormal behavior, so as to make managers pay more attention to such students. This paper will start from the behavior characteristics of students’ online users, introduce the functions of analysis and monitoring system about network abnormal behavior, and put forward some big data technologies to effectively improve the quality of management.","PeriodicalId":279965,"journal":{"name":"2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116166944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Incidence-Adjacent Vertex Distinguishing Equitable Total Coloring of Mycielski Graphs","authors":"Jishun Wang, Lin Zuo, Renfu Ge, Bujun Li","doi":"10.23977/iccia2020060","DOIUrl":"https://doi.org/10.23977/iccia2020060","url":null,"abstract":"The incidence-adjacent vertex distinguishing equitable total coloring of the Myceilski graphs of path, cycle, wheel and fan are discussed, and of which the incidence-adjacent vertex distinguishing equitable total chromatic numbers are confirmed efficiently by using constructive method and color adjusting technique base on the structure quality of the graphs. This method of the research provides an important reference for us to study the graph coloring problem with structural relations.","PeriodicalId":279965,"journal":{"name":"2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121136733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Development Research of 5G Communication Technology Promotes the Internet of Things Industry Chain","authors":"Chaojie Duan","doi":"10.23977/iccia2020055","DOIUrl":"https://doi.org/10.23977/iccia2020055","url":null,"abstract":"The current Internet of Things development is relatively fast, and 5G communication technology has a relatively good prospect under Internet of Things situation, which has a great impact on Internet of Things industry chain development. In order to do a continuous development of 5G communication technology, reasonable measures must be taken. It is to enhance the industrial chain mode of the Internet of Things development form. This article discusses the concept and development status of 5G communication technology from the practical point of view, and then discusses how to promote the development of the Internet of Things industry chain.","PeriodicalId":279965,"journal":{"name":"2020 4th International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2020)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116999778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}