Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yongshun Gong"'
Publikováno v:
大数据, Vol 9, Pp 69-82 (2023)
The problem of traffic flow forecasting has multi-source heterogeneity.The traffic flow in the future is not only related to the flow at the previous moment, but also affected by heterogeneous spatio-temporal data such as the relationship between urb
Externí odkaz:
https://doaj.org/article/f5d773a605544310b3530b0ad08d54dd
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283365 (2023)
High utility sequential pattern (HUSP) mining aims to mine actionable patterns with high utilities, widely applied in real-world learning scenarios such as market basket analysis, scenic route planning and click-stream analysis. The existing HUSP min
Externí odkaz:
https://doaj.org/article/c2ed34d816194e0c8da55c75049582dd
Publikováno v:
ACM Transactions on Information Systems. 41:1-24
The prevalence of location-based services has generated a deluge of check-ins, enabling the task of human mobility understanding. Among the various types of information associated with the check-in venues, categories (e.g., Bar and Museum ) are vital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a998e1d19c44ca955c232d301840683
https://doi.org/10.1145/3582553
https://doi.org/10.1145/3582553
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 34:571-585
Nonoccurring behavior (NOB) studies have attracted the growing attention of scholars as a crucial part of behavioral science. As an effective method to discover both NOB and occurring behaviors (OB), negative sequential pattern (NSP) mining is succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f6b6fc3f70fc4e46c98b4de64535634
https://doi.org/10.1109/tnnls.2020.3041732
https://doi.org/10.1109/tnnls.2020.3041732
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:865-880
As a key mission of the modern traffic management, crowd flow prediction (CFP) benefits in many tasks of intelligent transportation services. However, most existing techniques focus solely on forecasting entrance and exit flows of metro stations that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ed699be4cc87b5512e817fbd41a2581
https://doi.org/10.1109/tkde.2020.2985952
https://doi.org/10.1109/tkde.2020.2985952
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9088d84d6c4c0ffcff13a63eb70c1c0
https://doi.org/10.1109/tkde.2022.3200734
https://doi.org/10.1109/tkde.2022.3200734
Publikováno v:
IEEE Transactions on Multimedia. 24:1415-1425
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3bd589237b3c0c81fc06016bbac333a
https://doi.org/10.1109/tmm.2021.3064408
https://doi.org/10.1109/tmm.2021.3064408
Many real-world problems deal with collections of data with missing values, e.g., RNA sequential analytics, image completion, video processing, etc. Usually, such missing data is a serious impediment to a good learning achievement. Existing methods t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9743cf769d68b735b971268f311762a
https://hdl.handle.net/10453/170362
https://hdl.handle.net/10453/170362
Publikováno v:
2022 International Conference on Machine Learning, Cloud Computing and Intelligent Mining (MLCCIM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1dd0310a82fb667675e4bdd4249cf701
https://doi.org/10.1109/mlccim55934.2022.00014
https://doi.org/10.1109/mlccim55934.2022.00014
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0f278b7e1e307fadf18ad5ebc9b3c90
https://doi.org/10.1109/cvpr52688.2022.00701
https://doi.org/10.1109/cvpr52688.2022.00701