| Edition |
1st ed. |
| Description |
1 online resource (xx, 1175 pages) : illustrations (chiefly color). |
| Series |
Atlantis highlights in computer sciences, 2589-4900 ; 8 |
|
Atlantis highlights in computer sciences ; 8.
2589-4900
|
| Access |
Open access GW5XE |
| Note |
International conference proceedings. |
| Summary |
This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. Such endeavors are making new contributions to the globalization and creating a community of shared future. The 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022) was held on August 19 - 21, 2022, in Hulunbuir, China. With the support of experts and professors, the ICBDSS 2022 conference successfully held its first conference last year. In order to allow more scholars to have the opportunity to participate in the conference to share and exchange experience. This conference mainly focused on "big data", "social science" and other research fields to discuss. At present, my country has entered the era of "big data cloud migration", that is, the era of big data, the Internet of things, cloud computing and mobile Internet. The market demand for big data talents is also increasing day by day. The purpose of the conference is to provide a way for experts, scholars, engineering technicians, and technical R&D personnel engaged in big data and social science research to share scientific research results and cutting-edge technologies, understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the academic achievement industry Platform for chemical cooperation. The conference sincerely invites experts, scholars from domestic and foreign universities, scientific research institutions, business people and other relevant personnel to participate in the conference. |
| Note |
Publisher supplied information. |
| Local Note |
Springer Nature Springer Nature - SpringerLink eBooks - Fully Open Access |
| Subject |
Big data -- Congresses.
|
|
Social sciences -- Data processing -- Congresses.
|
|
Big data
|
|
Social sciences -- Data processing
|
| Genre/Form |
Electronic books.
|
|
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
| Added Author |
Guan, Guiyun, editor.
|
|
Qu, Bo, editor.
|
|
Zhou, Ding, editor.
|
| Added Title |
ICBDSS 2022 |
| ISBN |
9789464630640 (electronic bk.) |
|
9464630647 (electronic bk.) |
|
9789464630633 |
| Standard No. |
10.2991/978-94-6463-064-0 doi |
|
