Zobrazeno 1 - 10
of 962
pro vyhledávání: '"Big data mining"'
Publikováno v:
Big Data Mining and Analytics, Vol 7, Iss 2, Pp 531-546 (2024)
To efficiently mine threat intelligence from the vast array of open-source cybersecurity analysis reports on the web, we have developed the Parallel Deep Forest-based Multi-Label Classification (PDFMLC) algorithm. Initially, open-source cybersecurity
Externí odkaz:
https://doaj.org/article/ebd1e2149746426cad7fb6a1ec547934
Autor:
Xiaowen Long, Weiqiang Chen
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34159- (2024)
In the era of sharing economy, the tourism market is increasingly characterized by personalized demand, mobile consumption and product segmentation. This paper aims to apply big data mining technology in the field of smart tourism. Firstly, it focuse
Externí odkaz:
https://doaj.org/article/239d3e0f1686461181a044d1a521753d
Big data is gaining overwhelming attention since the last decade. Almost all the fields of science and technology have experienced a considerable impact from it. The cloud computing paradigm has been targeted for big data processing and mining in a m
Externí odkaz:
http://arxiv.org/abs/2104.05765
Publikováno v:
Tourism Review, 2023, Vol. 78, Issue 4, pp. 1060-1077.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TR-04-2022-0190
Publikováno v:
Frontiers in Earth Science, Vol 11 (2024)
Accurately quantifying the relative effects of climate change and human activities on soil carbon, nitrogen, and phosphorus in alpine grasslands and their feedback is an important aspect of global change, and high-precision models are the key to solv
Externí odkaz:
https://doaj.org/article/12e01310591c40109512d51d3e2da9f3
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/bf3f52c354f548478d757cb73e9e034d
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the development of information technology, the news media industry has entered the all-media era. Today, everyone is a communicator, and the audience has more diversified channels to obtain news information, but it also leads to the truly useful
Externí odkaz:
https://doaj.org/article/db3325d72b204979a4078f0706541d7e
Autor:
Wei Senjie
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In order to verify the feasibility of data mining for the practical education model and its value analysis of college civic education in the context of big data. Based on the big data mining algorithm-parallel density clustering algorithm, this paper
Externí odkaz:
https://doaj.org/article/9139b71fad2b440d829f2b796341e4a8
Autor:
Huang Guodong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In order to explore the construction mode and direction of the “Party building + Curriculum Civics” education mode of Chinese grass-roots party organizations under the background of “Internet+”. This paper proposes to use the hash search algo
Externí odkaz:
https://doaj.org/article/c50142e50aaf4c72b5caf68456634928
Autor:
Liu Xueyi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Professional cluster construction is the change of professional development mode in the context of current social development, and it is the innovation of internal construction and intensive management of private colleges and universities. This paper
Externí odkaz:
https://doaj.org/article/8d9cb241cfff47568f415ad6e8e8e2d1