Application of Big Data, Blockchain, and Internet of Things for Education Informatization (eBook)

4th EAI International Conference, BigIoT-EDU 2024, Beihai, China, August 18-20, 2024, Proceedings, Part IV
Artikelnummer: 978-3-032-18637-9
Einband: PDF
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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.

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.

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VerlagSpringer Nature Switzerland
EinbandPDF
Erscheinungsjahr2026
Seitenangabe640 S.
AusgabekennzeichenEnglisch
AbbildungenXVII, 640 p. 294 illus., 247 illus. in color.
Masse41'892 KB
PlattformPDF
ReiheLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Education; Education ; Springer Nature Proceedings excluding Computer Science
AutorBrik, Bouziane (Hrsg.) / Nazir, Shah (Hrsg.)

Alle Bände der Reihe "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering; Education; Education (R0); Springer Nature Proceedings excluding Computer Science"

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