Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Shou-De Lin"'
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Time series forecasting is an essential tool across numerous domains, yet traditional models often falter when faced with unilateral boundary conditions, where data is systematically overestimated or underestimated. This paper introduces a novel appr
Externí odkaz:
https://doaj.org/article/9182265dace44e298c1e6d37d71173c3
Publikováno v:
Frontiers in Big Data, Vol 2 (2020)
Attribute-aware CF models aim at rating prediction given not only the historical rating given by users to items but also the information associated with users (e.g., age), items (e.g., price), and ratings (e.g., rating time). This paper surveys work
Externí odkaz:
https://doaj.org/article/78e1a3f1daff420fbe7cabe1ddcfa069
Autor:
Jing-Kai Lou, Fu-Min Wang, Chin-Hua Tsai, San-Chuan Hung, Perng-Hwa Kung, Shou-De Lin, Kuan-Ta Chen, Chin-Laung Lei
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
Issues about opinion diffusion have been studied for decades. It has so far no empirical approach to model the interflow and formation of crowd’s opinion in elections due to two reasons. First, unlike the spread of information or flu, individuals h
Externí odkaz:
https://doaj.org/article/f98fc953bcca431baa93e0e6a01fcb6c
Autor:
Wei-Ping Chan, Hsiao-Wei Yuan, Cho-Ying Huang, Chung-Ho Wang, Shou-De Lin, Yi-Chen Lo, Bo-Wen Huang, Kent A Hatch, Hau-Jie Shiu, Cheng-Feng You, Yuan-Mou Chang, Sheng-Feng Shen
Publikováno v:
PLoS ONE, Vol 7, Iss 9, p e45496 (2012)
The natural variation in stable water isotope ratio data, also known as water isoscape, is a spatiotemporal fingerprint and a powerful natural tracer that has been widely applied in disciplines as diverse as hydrology, paleoclimatology, ecology and f
Externí odkaz:
https://doaj.org/article/9f7d85f559b04cf0a76c00b113a3098b
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Aug2024, Vol. 15 Issue 4, p1-26, 26p
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333767
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4823ae1af00bed3c3b17ae35ac6665a2
https://doi.org/10.1007/978-3-031-33377-4_5
https://doi.org/10.1007/978-3-031-33377-4_5
Publikováno v:
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4b45b011cf4f33845abfc9337637cf
https://doi.org/10.1109/dsaa54385.2022.10032353
https://doi.org/10.1109/dsaa54385.2022.10032353
Publikováno v:
2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b712eaca47870378536f520f1fbc0ca
https://doi.org/10.1109/icmew56448.2022.9859385
https://doi.org/10.1109/icmew56448.2022.9859385
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 12:1-16
Demographic information is important for various commercial and academic proposes, but in reality, few of these data are accessible for analysis and research. To solve this problem, several studies predict demographic attributes from users’ behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf92604d5cbc3f963a2f55ed552b996e
https://doi.org/10.1145/3426240
https://doi.org/10.1145/3426240
Publikováno v:
Knowledge and Information Systems. 62:4277-4296
Real-world network data can be incomplete (e.g., the social connections are partially observed) due to reasons such as graph sampling and privacy concerns. Consequently, communities detected based on such incomplete network information could be not a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8542d078c69dc45ca0ba207f624fad6e
https://doi.org/10.1007/s10115-020-01490-z
https://doi.org/10.1007/s10115-020-01490-z