Zobrazeno 1 - 10
of 824
pro vyhledávání: '"Information mining"'
Autor:
He Qinling, Zhang Wei
Publikováno v:
Demonstratio Mathematica, Vol 57, Iss 1, Pp 315-332 (2024)
In the era of big data, efficient classification of rapidly growing data volumes is a critical challenge. Traditional algorithms often fall short in handling the scale and complexity of big data, leading to inefficiencies in classification accuracy a
Externí odkaz:
https://doaj.org/article/8e3a57017ac04c50bf0d98fedcfdf1e3
Publikováno v:
IEEE Access, Vol 12, Pp 4674-4686 (2024)
In complex data environments, rational handling of unbalanced datasets is key to improving the reliability of early disease prediction. Early warning of disease risk in both temporal and spatial terms, contributes to disease prevention and treatment.
Externí odkaz:
https://doaj.org/article/b276919a69094e43934c1c473fe08830
Autor:
Apostolos Ziakopoulos, Christina Telidou, Apostolos Anagnostopoulos, Fotini Kehagia, George Yannis
Publikováno v:
IATSS Research, Vol 47, Iss 4, Pp 499-513 (2023)
The present research investigates a range of factors affecting autonomous vehicle (AV) acceptance of Greek citizens through a questionnaire distributed to 563 respondents. Following the extraction of descriptive statistics, self-organizing maps (SOMs
Externí odkaz:
https://doaj.org/article/0e39bb5d625141f5beefd09107e4aa58
Publikováno v:
Dianxin kexue, Vol 39, Pp 111-121 (2023)
Geographical information extracted from social media text reveals underlying spatial correlations.A geographical location prediction method for social media text based on multimodal fusion was proposed.By utilizing images associated with the text as
Externí odkaz:
https://doaj.org/article/5091e33fae494be1a7199b99d71319a1
Publikováno v:
Dianxin kexue, Vol 39, Pp 58-68 (2023)
Previous work on social media text-based geolocation focused on mapping language semantic space to geospatial space, which ignores the semantic correlation between social media texts and the distance correlation between geographical locations.To take
Externí odkaz:
https://doaj.org/article/363687c1da374633aa49d3f12490d038
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103614- (2024)
Recently, the capsule network and its enhanced version named convolutional capsule network (Conv-CapsNet) were applied to hyperspectral image (HSI) classification and delivered outstanding performance, attributing to the enriched capabilities of caps
Externí odkaz:
https://doaj.org/article/ce166390ee214ec4b046801a0fe39a31
Autor:
Zhou Changsheng, Li Chunmei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Addressing the imperative of cultivating innovation and learning quality in 21st-century college education, this research proposes a strategic CTDE model to enhance college students’ innovative capacities. By implementing a personalized information
Externí odkaz:
https://doaj.org/article/6de427b114f841949e99ba42259b454e
Autor:
Zhou Yuanyuan, Dong Yahua
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Cultural patterns, through the process of socialization, determine the national identity of a nation and influence the way of thinking, value orientation, and behavior of individuals. In this paper, we analyze Japanese values education from the dimen
Externí odkaz:
https://doaj.org/article/6072ca8bea15410ab6af5a0456997f38
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the rapid development of the data and information age, the digital-driven library has become an inevitable trend of library development. In this paper, through the Apriori association rule algorithm, the digital-driven library model for the infl
Externí odkaz:
https://doaj.org/article/a2de72e6ae514baaa6cfee2559de67be
Autor:
Lin Xiaohong, Yi Yanwei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first analyzes the importance of data analysis skills and uses information mining to discover valuable accounting knowledge. Secondly, in the process of calculating the weights of indicators, the Bayesian network classifier is used to enha
Externí odkaz:
https://doaj.org/article/ddb50f82c67e414a874a57202e68a576