Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Cailing Dong"'
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 9:91-100
Online Social Networks (OSNs) have come to play an increasingly important role in our social lives, and their inherent privacy problems have become a major concern for users. Can we assist consumers in their privacy decision-making practices, for exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::229ed395bdcad6e63eff799cc60b18d1
https://doi.org/10.1609/icwsm.v9i1.14615
https://doi.org/10.1609/icwsm.v9i1.14615
Publikováno v:
FUSION
In this paper, we developed a pattern discovery and anomaly detection system using a knowledge graph constructed by integrating data from heterogeneous sources. Specifically, the knowledge graph is constructed based on data extracted from structured
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b47bf10923078609fb3697a43b348b9
https://doi.org/10.23919/icif.2018.8455737
https://doi.org/10.23919/icif.2018.8455737
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783319399300
SBP-BRiMS
SBP-BRiMS
Event-based social networks (EBSNs) such as Meetup and Plancast have been emerging in recent years. In addition to the online virtual groups and connections on many existing Online Social Networks (OSNs), EBSNs also provide a platform for users to in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c8c138bc01d7c5843e1cd1a554c68f9
https://doi.org/10.1007/978-3-319-39931-7_24
https://doi.org/10.1007/978-3-319-39931-7_24
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478739
SocInfo (2)
SocInfo (2)
Online Social Networks (OSNs) have come to play an increasingly important role in our social lives, and their inherent privacy problems have become a major concern for users. Can we assist consumers in their privacy decision-making practices, for exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67b7d76ac6f5ec5193fd2c8f0c9f32c2
https://doi.org/10.1007/978-3-319-47874-6_28
https://doi.org/10.1007/978-3-319-47874-6_28
Autor:
Arvind Agarwal, Cailing Dong
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478739
SocInfo (2)
SocInfo (2)
Social media platforms are a rich source of information these days, however, of all the available information, only a small fraction is of users’ interest. To help users catch up with the latest topics of their interests from the large amount of in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d612ade90c60bf7cefbc515f93b293b
https://doi.org/10.1007/978-3-319-47874-6_14
https://doi.org/10.1007/978-3-319-47874-6_14
Autor:
Bin Zhou, Cailing Dong
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319478739
SocInfo (2)
SocInfo (2)
In this paper, we provide a comprehensive study of privacy threats by bridging user’s online and offline social activities. We adopt the recently emerged Event-Based Social Networks (EBSNs) such as Meetup as an example. Due to the intrinsic interre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc446cab13c6b1ac9c1af18528be7dfd
https://doi.org/10.1007/978-3-319-47874-6_29
https://doi.org/10.1007/978-3-319-47874-6_29
Autor:
Cailing Dong, Bin Zhou
Publikováno v:
Encyclopedia of Social Network Analysis and Mining ISBN: 9781461471639
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bef1167f5d31552c6ce2f8e81464ffb6
https://doi.org/10.1007/978-1-4614-7163-9_294-1
https://doi.org/10.1007/978-1-4614-7163-9_294-1
Publikováno v:
Science China Information Sciences. 53:1369-1378
As one of the most effective measures to extract useful information from medical database and provide scientific decision-making for diagnosis and treatment of diseases, medical data mining has become an increasingly hot topic in the last few years.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4cff35b2cf6403b9cbd58af4ceeeece8
https://doi.org/10.1007/s11432-010-3107-9
https://doi.org/10.1007/s11432-010-3107-9
Autor:
Cailing Dong, Arvind Agarwal
Publikováno v:
BigData Conference
In this paper we present a weakly supervised framework for relevant content filtering from social media platforms such as Twitter. Social media platforms are a rich source of information these days. However of all the available information, there is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18af3221231111f890d6b82779e3bc8f
https://doi.org/10.1109/bigdata.2014.7004356
https://doi.org/10.1109/bigdata.2014.7004356
Publikováno v:
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).
Most of the extant studies about web spam detection either explicitly or implicitly assume that web spam detection is performed on the server side of a search engine. In this paper, we argue that in some scenarios, web spam detection is preferred to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7cfc5edf0a6f110deb5f950ebfb6bb
https://doi.org/10.1109/wi-iat.2013.81
https://doi.org/10.1109/wi-iat.2013.81