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1 Ergebnisse
1
Many-to-Many Collaborator Recommendation Based on Matching ..:
, In:
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
,
Kong, Xiangjie
;
Wen, Linyan
;
Ren, Jing
... - p. 109-114 , 2019
Link:
https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech..
RT T1
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
: T1
Many-to-Many Collaborator Recommendation Based on Matching Markets Theory
UL https://suche.suub.uni-bremen.de/peid=ieee-8890433&Exemplar=1&LAN=DE A1 Kong, Xiangjie A1 Wen, Linyan A1 Ren, Jing A1 Hou, Mingliang A1 Zhang, Minghao A1 Liu, Kang A1 Xia, Feng YR 2019 K1 Collaboration K1 Resource management K1 Optimal matching K1 Nickel K1 Big Data K1 Toy manufacturing industry K1 Silicon K1 many-to-many, matching markets theory, collaborator recommendation SP 109 OP 114 LK http://dx.doi.org/https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00032 DO https://doi.org/10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00032 SF ELIB - SuUB Bremen
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