Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chunpai Wang"'
Publikováno v:
IEEE Access, Vol 8, Pp 157800-157818 (2020)
As the backbone of many real-world complex systems, networks interact with others in nontrivial ways from time to time. It is a challenging problem to detect subgraphs that have dependencies on each other across multiple networks. Instead of devising
Externí odkaz:
https://doaj.org/article/46843b4e4e4749678ad8e25038e7b5f4
We propose a new approach, the calibrated nonparametric scan statistic (CNSS), for more accurate detection of anomalous patterns in large-scale, real-world graphs. Scan statistics identify connected subgraphs that are interesting or unexpected throug
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7e5fb25c815556df84d6ad3fd6a9db2
http://arxiv.org/abs/2206.12786
http://arxiv.org/abs/2206.12786
Publikováno v:
ICDM
We propose a generalized optimization framework for detecting anomalous patterns (subgraphs that are interesting or unexpected) in interdependent networks, such as multi-layer networks, temporal networks, networks of networks, and many others. We fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec0d2d89ef3b38e29418721575774bc1
https://doi.org/10.1109/icdm.2019.00137
https://doi.org/10.1109/icdm.2019.00137
Publikováno v:
IEEE BigData
Subjective Logic (SL), as one of the state-of-the-art belief models, has been proposed to model an opinion that explicitly deals with its uncertainty. SL offers a variety of operators to update opinions consisting of belief, disbelief, and uncertaint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba97299a9f0fa530320e809ea361d15
https://doi.org/10.1109/bigdata.2017.8257906
https://doi.org/10.1109/bigdata.2017.8257906