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pro vyhledávání: '"Kassaie, Besat"'
Autor:
Kassaie, Besat, Tompa, Frank Wm.
Semi-structured and unstructured data management is challenging, but many of the problems encountered are analogous to problems already addressed in the relational context. In the area of information extraction, for example, the shift from engineerin
Externí odkaz:
http://arxiv.org/abs/2007.01973
Autor:
Kassaie, Besat
We report our effort to identify the sensitive information, subset of data items listed by HIPAA (Health Insurance Portability and Accountability), from medical text using the recent advances in natural language processing and machine learning techni
Externí odkaz:
http://arxiv.org/abs/1701.03129
Autor:
Kassaie, Besat
The ability of the RDF data model to link data from heterogeneous domains has led to an explosive growth of RDF data. So, evaluating SPARQL queries over large RDF data has been crucial for the semantic web community. However, due to the graph nature
Externí odkaz:
http://arxiv.org/abs/1701.03091
Autor:
Kassaie, Besat
In this report, we propose a new application for twitter data called \textit{job detection}. We identify people's job category based on their tweets. As a preliminary work, we limited our task to identify only IT workers from other job holders. We ha
Externí odkaz:
http://arxiv.org/abs/1701.03092
Akademický článek
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Autor:
MAAREFVAND, Masoomeh, KASSAIE, Besat, GHIASVAND, Hamidreza, ABOLFATHI GHARIBDOOSTI, Robabeh, KHUBCHANDANI, Jagdish
Publikováno v:
Iranian Journal of Public Health, Vol 45, Iss 5 (2016)
Iranian Journal of Public Health
Iranian Journal of Public Health
Background: Long Distance Truck Drivers (LDTDs) and their sexual health risk behaviors have been associated with greater prevalence of sexually transmitted Infections (STIs), HIV and hepatitis virus transmission. However, there is no information abou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::f7fd569babcc47cb94517af540e03c3d
https://ijph.tums.ac.ir/index.php/ijph/article/view/6796
https://ijph.tums.ac.ir/index.php/ijph/article/view/6796
Autor:
Kassaie, Besat besat_k@yahoo.com, Rahgozar, Maseud rahgozar@ut.ac.ir, Vazifedoost, Alireza vazifehdst@ut.ac.ir
Publikováno v:
Iranian Journal of Information Processing & Management. 2014, Vol. 28 Issue 3, p807-827. 22p.