Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Furkan Kocayusufoglu"'
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Furkan Kocayusufoglu, Tao Wu, Anima Singh, Georgios Roumpos, Heng-Tze Cheng, Sagar Jain, Ed Chi, Ambuj Singh
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Network regularization is an effective tool for incorporating structural prior knowledge to learn coherent models over networks, and has yielded provably accurate estimates in applications ranging from spatial economics to neuroimaging studies. Recen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff28f7634220d1609d9e1ada3ca906a6
https://doi.org/10.1137/1.9781611976236.24
https://doi.org/10.1137/1.9781611976236.24
Autor:
Marc Najork, Nguyen Vo, Qi Zhao, Sandeep Tata, Furkan Kocayusufoglu, Ying Sheng, James B. Wendt
Publikováno v:
WWW
Recent studies show that an overwhelming majority of emails are machine-generated and sent by businesses to consumers. Many large email services are interested in extracting structured data from such emails to enable intelligent assistants. This allo
Publikováno v:
ICDM
Understanding and modeling complex network processes is an important task in many real-world applications. The first challenge is to discover patterns in such complex data. In this work, our goal is to summarize different processes in a network by a
Autor:
Hakan Ferhatosmanoglu, Bahaeddin Eravci, Josep L. Larriba-Pey, Elif Eser, Furkan Kocayusufoglu
Publikováno v:
IEEE International Conference on Data Mining Workshops, ICDMW, 2016
ICDM Workshops
ICDM Workshops
Date of Conference: 12-15 Dec. 2016 Conference name: IEEE 16th International Conference on Data Mining Workshops (ICDMW), 2016 While research on time-varying graphs has attracted recent attention, the research community has limited or no access to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f494faa6dc1256b255ad77f6a712f6b4
https://hdl.handle.net/11693/37626
https://hdl.handle.net/11693/37626