Skip to main content

2024 | OriginalPaper | Buchkapitel

Application of Data Mining in Bond Strength Testing

verfasst von : Zhimin Ding, Kailian Wu, Chao Li, Yang Tian, Guangyao Li, Chao Duan, Meng Meng

Erschienen in: Signal and Information Processing, Networking and Computers

Verlag: Springer Nature Singapore

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This article intends to apply the information technology of data mining to solve the data analysis related to bond strength. Use Big data analysis means to further improve the analysis and processing capacity of complex data in the quality assurance process. A bond strength data identification model was established, and the original data in the database were cleaned, converted, and discretization to generate a data set that meets the requirements of the model. The model was evaluated and verified to generate decision rules and evaluation results based on the bond strength data identification model, and then the research was applied to practice to obtain a more scientific sampling inspection method for the number of bond strength.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Feng, G.: Research and implementation of data mining association algorithm based on cloud computing. Chengdu University of Technology (2013) Feng, G.: Research and implementation of data mining association algorithm based on cloud computing. Chengdu University of Technology (2013)
2.
Zurück zum Zitat Li, H., Zhang, H.: Urban road extraction of multi-level segmentation based on optimal feature selection. Chin. Space Sci. Technol. 02(2), 99–107 (2022) Li, H., Zhang, H.: Urban road extraction of multi-level segmentation based on optimal feature selection. Chin. Space Sci. Technol. 02(2), 99–107 (2022)
3.
Zurück zum Zitat Yin, Q., Shen, X., Xia, Y.: The application of machine learning in data mining in the context of Big data. Digit. Technol. Appl. 40(383)(05), 21–23 (2022) Yin, Q., Shen, X., Xia, Y.: The application of machine learning in data mining in the context of Big data. Digit. Technol. Appl. 40(383)(05), 21–23 (2022)
4.
Zurück zum Zitat Lushan: Application analysis of data mining technology in software engineering. Changjiang Inf. Commun. 35(232)(04), 113–115+118 (2022) Lushan: Application analysis of data mining technology in software engineering. Changjiang Inf. Commun. 35(232)(04), 113–115+118 (2022)
5.
Zurück zum Zitat Liu, Z.: Information can only recommend system target feature data mining methods. Inf. Technol. 364(03), 162–165+171 (2022) Liu, Z.: Information can only recommend system target feature data mining methods. Inf. Technol. 364(03), 162–165+171 (2022)
6.
Zurück zum Zitat Li, Y.: Research on information system data mining based on decision tree algorithm. Inf. Technol. 363(02), 116–120+126 (2022) Li, Y.: Research on information system data mining based on decision tree algorithm. Inf. Technol. 363(02), 116–120+126 (2022)
7.
Zurück zum Zitat Gu, R., , W., Wang, L.: Application of data mining technology in the big data era. Sci. Technol. Innov. Appl. 12(369)(05), 176–178 (2022) Gu, R., , W., Wang, L.: Application of data mining technology in the big data era. Sci. Technol. Innov. Appl. 12(369)(05), 176–178 (2022)
8.
Zurück zum Zitat Liu, W.: Application research of data mining technology. Wirel. Interconnect. Technol. 19(221)(01), 84–85 (2022) Liu, W.: Application research of data mining technology. Wirel. Interconnect. Technol. 19(221)(01), 84–85 (2022)
9.
Zurück zum Zitat Zhang, L.: Analysis of data mining technology in the big data era. Heilongjiang Sci. 11(181)(18), 90–91 (2020) Zhang, L.: Analysis of data mining technology in the big data era. Heilongjiang Sci. 11(181)(18), 90–91 (2020)
10.
Zurück zum Zitat Cai, M., Zhang, W., Wang, H.: Overview of data mining in the age of big data. Value Eng. 38(517)(05), 155–157 (2019) Cai, M., Zhang, W., Wang, H.: Overview of data mining in the age of big data. Value Eng. 38(517)(05), 155–157 (2019)
Metadaten
Titel
Application of Data Mining in Bond Strength Testing
verfasst von
Zhimin Ding
Kailian Wu
Chao Li
Yang Tian
Guangyao Li
Chao Duan
Meng Meng
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-97-2120-7_20