Application of Big Data, Blockchain, and Internet of Things for Education Informatization
Description
The five-volume set LNICST 658-662 constitutes the proceedings of the 4th EAI International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization, BigIoT-EDU 2024, held in Beihai, China, during August 18-20, 2024.
The 271 full papers included in these volumes were carefully reviewed and selected from 669 submissions. They are organized in the following topical sections:
Part I: Application of Data Mining in Intelligence Education; Application of Ant Colony Algorithms in Intelligence Education; Application of Apriori Algorithm in Intelligence Education; and Application of K-means clustering algorithm in intelligence education.
Part II: Application of K-means clustering algorithm in intelligence education; Application of Big Data in Intelligence Education; The Application of Computer in Intelligence Education; and Application of Model in Intelligence Education.
Part III: Application of Model in Intelligence Education; Application of Virtual Technology in Intelligence Education; Application of Network Platform in Intelligence Education; and The Application of Machine Learning in Intelligence Education.
Part IV: The Application of Machine Learning in Intelligence Education; Deep learning in Intelligence Education; Clouding Computing and blockchain in Intelligence Education; and Other intelligent algorithms in Intelligence Education.
Part V: Other intelligent algorithms in Intelligence Education.
More details
Other editions
Additional editions
Content
.- Other intelligent algorithms in Intelligence Education.
.- The Application of Decision Tree Algorithm in the Employment Analysis of College Graduates.
.- Teaching Resource Storage Management and Its Search Algorithm Based on Grid Algorithm.
.- Optimal allocation of innovation and entrepreneurship education resources in colleges and universities based on PSO algorithm.
.- Health management evaluation algorithm for college students based on distributed multi-agent system.
.- Employment analysis and prediction of higher vocational students based on decision tree classification algorithm.
.- Data analysis of teaching management in higher vocational colleges based on decision tree algorithm.
.- Application of Depth-First Search Algorithm in Teaching Quality Monitoring and Management System of Colleges and Universities.
.- Analysis of the rational application of college English teaching to situation construction under association rule mining algorithm.
.- An Improved ID3 Algorithm and Its Application in University Public Physical Education.
.- Adaptive learning recommendation algorithm for vocational education under the background of artificial intelligence.
.- Analysis of the optimization algorithm in the thought of art education and the development direction of image AI.
.- Analysis on the rational application of English teaching in college construction under the correlation rule mining algorithm.