Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dongming Lei"'
Publikováno v:
IEEE Transactions on Computational Social Systems. :1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2970b2bdc0d51ec2589d4adfc01dfd8c
https://doi.org/10.1109/tcss.2022.3233365
https://doi.org/10.1109/tcss.2022.3233365
Autor:
Honglei Zhuang, Quan Yuan, Shaowen Wang, Chao Zhang, Lance M. Kaplan, Dongming Lei, Jiawei Han
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 9:1-24
The real-time discovery of local events (e.g., protests, disasters) has been widely recognized as a fundamental socioeconomic task. Recent studies have demonstrated that the geo-tagged tweet stream serves as an unprecedentedly valuable source for loc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea51201e53983fac748470f6ab92590c
https://doi.org/10.1145/3066166
https://doi.org/10.1145/3066166
Autor:
Michelle Vanni, Zeqiu Wu, Chao Zhang, Brian M. Sadler, Dongming Lei, Jiawei Han, Xiang Ren, Jiaming Shen
Publikováno v:
KDD
Taxonomies are of great value to many knowledge-rich applications. As the manual taxonomy curation costs enormous human effects, automatic taxonomy construction is in great demand. However, most existing automatic taxonomy construction methods can on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb513ba0dad2cec5d9101074e888edfe
http://arxiv.org/abs/1910.08194
http://arxiv.org/abs/1910.08194
Autor:
Liyuan Liu, Chao Zhang, Honglei Zhuang, Quan Yuan, Jiawei Han, Dongming Lei, Timothy Hanratty
Publikováno v:
KDD
Detecting local events (e.g., protest, disaster) at their onsets is an important task for a wide spectrum of applications, ranging from disaster control to crime monitoring and place recommendation. Recent years have witnessed growing interest in lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c53864e2a13505c2c9dd272a598d9c28
https://doi.org/10.1145/3097983.3098027
https://doi.org/10.1145/3097983.3098027
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712482
ECML/PKDD (1)
ECML/PKDD (1)
Corpus-based set expansion (i.e., finding the “complete” set of entities belonging to the same semantic class, based on a given corpus and a tiny set of seeds) is a critical task in knowledge discovery. It may facilitate numerous downstream appli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b881957f1f226f5892bdc6e5e82e6fe6
https://doi.org/10.1007/978-3-319-71249-9_18
https://doi.org/10.1007/978-3-319-71249-9_18