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Computer science and education = computer science and technology : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023 : proceedings.. Part I /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer science and education/ edited by Wenxing Hong, Geetha Kanaparan.
其他題名:	computer science and technology : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023 : proceedings.
其他作者:	Hong, Wenxing.
團體作者:	International Conference on Computer Science & Education
出版者:	Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:	xxvi, 499 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Computer science and data science -- machine learning and its applications -- large language model -- data mining in social science.
Contained By:	Springer Nature eBook
標題:	Computer science - Congresses. - Study and teaching -
電子資源:	https://doi.org/10.1007/978-981-97-0730-0
ISBN:	9789819707300

Computer science and education = computer science and technology : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023 : proceedings.. Part I /
Computer science and educationcomputer science and technology : 18th International Conference, ICCSE 2023, Sepang, Malaysia, December 1-7, 2023 : proceedings.Part I /[electronic resource] :edited by Wenxing Hong, Geetha Kanaparan. - Singapore :Springer Nature Singapore :2024. - xxvi, 499 p. :ill. (chiefly col.), digital ;24 cm. - Communications in computer and information science,20231865-0937 ;. - Communications in computer and information science ;2023..

Computer science and data science -- machine learning and its applications -- large language model -- data mining in social science.

T his three-volume set constitues selected papers presented at the 18th International Conference on Computer Science and Education, ICCSE 2023, held in Sepang, Malaysia, in December 2023. The 106 full papers and 36 short papers presented were thoroughly reviewed and selected from the 305 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.

ISBN: 9789819707300

Standard No.: 10.1007/978-981-97-0730-0doiSubjects--Topical Terms:

1066497
Computer science
--Study and teaching--Congresses.

LC Class. No.: QA76.27

Dewey Class. No.: 004.071

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