Research on Data Optimization Method of Software Knowledge Base Operation and Maintenance Based on Cloud Computing

Autor:	Shi-han Zhang, Gang Qiu
Rok vydání:	2021
Předmět:	Matching (statistics) Computer science business.industry Data optimization Cloud computing Data matching computer.software_genre Software Knowledge base Order (business) Anomaly detection Data mining business computer
Zdroj:	Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030678708 ADHIP (1)
DOI:	10.1007/978-3-030-67871-5_21
Popis:	To improve the accuracy of data matching in software knowledge base operation and maintenance, a data optimization method based on cloud computing is proposed. In order to achieve the goal of accurate detection, the steps of anomaly detection of software knowledge base operation and maintenance data are improved, and the optimization of software knowledge base operation and maintenance data is completed. Finally, the experiment proves that the matching accuracy of the software knowledge base operation and maintenance data optimization method based on cloud computing is significantly improved compared with the traditional operation and maintenance method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::04c3b6b7cd8d304b3e8c32516be35e61 https://doi.org/10.1007/978-3-030-67871-5_21 Zobrazit plný text záznamu