Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Ming-Yi Chang"'
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::986b5b38d7717275ccc1d2b31f1c7b50
https://doi.org/10.1109/tkde.2022.3207150
https://doi.org/10.1109/tkde.2022.3207150
Publikováno v:
IEEE Transactions on Computational Social Systems. 9:1552-1562
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca3253b253decdf275c483121fa51d79
https://doi.org/10.1109/tcss.2022.3152179
https://doi.org/10.1109/tcss.2022.3152179
Publikováno v:
Data Mining and Knowledge Discovery. 34:1589-1620
Real social network datasets with community structures are critical for evaluating various algorithms in Online Social Networks (OSNs). However, obtaining such community data from OSNs has recently become increasingly challenging due to privacy issue
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6c9ecf52da79b5944b48cb637fff548
https://doi.org/10.1007/s10618-020-00709-5
https://doi.org/10.1007/s10618-020-00709-5
Publikováno v:
Canadian review of sociology = Revue canadienne de sociologieREFERENCES. 59(2)
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb9e5ccb9dace86fc6f6bd1c4ba8ead6
https://pubmed.ncbi.nlm.nih.gov/35174632
https://pubmed.ncbi.nlm.nih.gov/35174632
Autor:
Ming Chang1,2 ming@cycu.edu.tw, Ming-Yi Chang2 03022@gmail.com, Wei-Siou Lin2 hugh0322452@gmail.com, Jacque Lynn Gabayno3 jlfgabayno@mapua.edu.ph
Publikováno v:
Materials (1996-1944). 2015, Vol. 8 Issue 11, p7813-7820. 8p. 1 Color Photograph, 3 Black and White Photographs, 1 Diagram, 1 Chart, 2 Graphs.
Publikováno v:
CIKM
The data of egocentric networks (ego networks) are very important for evaluating and validating the algorithms and machine learning approaches in Online Social Networks (OSNs). Nevertheless, obtaining the ego network data from OSNs is not a trivial t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::827f0eef692663c96c17400ebf812b89
https://doi.org/10.1145/3340531.3411867
https://doi.org/10.1145/3340531.3411867
Autor:
Ming-Yi Chang, Chih-Ying Tseng
Publikováno v:
MDM
Social Anxiety disorder (SAD), one of the most important and common mental disorders, affects a large proportion of individuals around the world. To help identify SAD patients for early intervention, in this study, we bring together computer science
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0c9ea199f1838b093afe0a367fac163
https://doi.org/10.1109/mdm48529.2020.00073
https://doi.org/10.1109/mdm48529.2020.00073
Autor:
Ming-Yi Chang, Chen-Wei Lu, Yun-Jui Hsu, Kei-Peng Lin, Bay-Yuan Hsu, Chen-Hsu Yang, Guang-Siang Lee, Chih-Ya Shen
Publikováno v:
GLOBECOM
Many novel and exhilarating applications emerged in the past decade, thanks to the ubiquity and the volume of data in this big data era. However, large-scale data collection is often expensive and time-consuming, especially in the physical world. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4ae43d0467254676dfbc9fedcc5044e
https://doi.org/10.1109/globecom38437.2019.9013472
https://doi.org/10.1109/globecom38437.2019.9013472
Publikováno v:
GCCE
We develop a blockchain-based mobile ticketing system which utilizes smart contracts and multi-signature to enforce and authorize the executions of transactions. The transactions of buying and using mobile tickets are verified by the blockchain, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49bbbfe80304ce177f107117f5c07990
https://doi.org/10.1109/gcce46687.2019.9015425
https://doi.org/10.1109/gcce46687.2019.9015425
Publikováno v:
HT
In this paper, we make our first attempt to address this issue by proposing a new research problem to identify a group of users from the OSN, such that the group is a socially tight community and the users' willingness of data contribution is maximiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4566493c42eceb1a0fc22ac3b0d212c7
https://doi.org/10.1145/3342220.3344937
https://doi.org/10.1145/3342220.3344937