Tran, Van Canh Dr. rer. natUniversität HeidelbergHeidelberg
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Publications in heiBIB 
- Tran, Van Canh: rLinkTopic : a probabilistic model for discovering regional LinkTopic communities / Tran Van Canh ; Michael Gertz. - 6 S.
In: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2014. (2014), S. 21-26
DOI: 10.1109/ASONAM.2014.6921555
- Strötgen, Jannik: Extending HeidelTime for temporal expressions referring to historic dates / Jannik Strötgen ; Thomas Bögel ; Julian Zell ; Ayser Armiti ; Tran Van Canh ; Michael Gertz. - 8 S.
In: LREC 2014, Ninth International Conference on Language Resources and Evaluation. (2014), S. 2390-2397
- Strötgen, Jannik: Time for more language : temporal tagging of Arabic, Italian, Spanish, and Vietnamese / Jannik Strötgen ; Ayser Armiti ; Tran Van Canh ; Julian Zell ; Michael Gertz
In: ACM transactions on Asian language information processing, ISSN 1558-3430. 13(2014,1) Artikel-Nr. 1, 21 S.
DOI: 10.1145/2540989
- Tran, Van Canh: Learning social links and communities from interaction, topical, and spatio-temporal information / Canh Tran Van, 2014. - Online-Ressource (179 S.)
DOI: 10.11588/heidok.00017246
- Tran, Van Canh: Learning social links and communities from interaction, topical, and spatio-temporal information / put forward by Tran Van Canh, 2014. - IX, 169 S. : Ill., graph. Darst.
- Tran, Van Canh: A spatial LDA model for discovering regional communities / Tran Van Canh ; Michael Gertz. - 7 S.
In: Proceedings of the 2013 IEEEACM International Conference on Advances in Social Networks Analysis and Mining. (2013), S. 162-168
DOI: 10.1145/2492517.2492616
- Tran, Van Canh: A constraint neighborhood based approach for co-location pattern mining / Tran Van Canh; Michael Gertz, 2012. - 8 S.
In: Fourth International Conference on Knowledge and Systems Engineering (KSE), 2012. (2012), Seite 128-135
DOI: 10.1109/KSE.2012.16
- Sengstock, Christian: Spatial interestingness measures for co-location pattern mining / Christian Sengstock ; Michael Gertz ; Tran Van Canh. - 6 S.
In: IEEE 12th International Conference on Data Mining workshops (ICDMW), 2012. (2012), S. 821-826
DOI: 10.1109/ICDMW.2012.116
