Construction of specialized Laboratory of Information and Computing Science based on Big data Mining Technology
This paper mainly analyzes the feasibility of data mining technology in the application of information and computer science, and uses big data mining technology to promote the intelligent construction of information and computer science laboratory. Through the mining and analysis of large-scale data...
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| Vydáno v: | 2021 2nd International Conference on Information Science and Education (ICISE-IE) s. 961 - 964 |
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| Hlavní autor: | |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.11.2021
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| Témata: | |
| On-line přístup: | Získat plný text |
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| Shrnutí: | This paper mainly analyzes the feasibility of data mining technology in the application of information and computer science, and uses big data mining technology to promote the intelligent construction of information and computer science laboratory. Through the mining and analysis of large-scale data education information, it is of great significance to comprehensively understand information and the construction of computer science laboratory. In order to accelerate the process of laboratory digitalization, it is necessary to continuously integrate and optimize the teaching structure and teaching operating system, so as to further improve the data processing and analysis ability of information and computing science laboratory. At the same time, in the construction of information and computing science laboratory, experimental teaching as an important part of college teaching, there will be a large number of data types in the operation and use of the laboratory, and the use of data mining technology to obtain valuable data information as an important indicator of laboratory construction. At the same time, data mining technology provides powerful technical support for information and computing science laboratory. Data information processing is the process of standardizing the teaching data obtained in the previous step. Data formats obtained from experimental software platforms or other systems often cannot meet the requirements of mining, such as data missing or useless, the format conversion of original teaching data is carried out according to the standard requirements of data mining algorithm. This paper further promotes the integration and innovation of information computing science major through the application of data mining technology in big data science technology. |
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| DOI: | 10.1109/ICISE-IE53922.2021.00220 |