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Big Data Clustering via Community Detection and Hyperbolic Network Embedding in IoT Applications.

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第一作者： Vasileios,Karyotis

第一单位： Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens 157 80, Greece. vassilis@netmode.ntua.gr.

作者： Vasileios,Karyotis ^[1] ; Konstantinos,Tsitseklis ^[2] ; Konstantinos,Sotiropoulos ^[3] ; Symeon,Papavassiliou ^[4]

作者单位： Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens 157 80, Greece. vassilis@netmode.ntua.gr. ^[1] Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens 157 80, Greece. ktsitseklis@netmode.ntua.gr. ^[2] Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens 157 80, Greece. ksotirop@bu.edu.;Department of Computer Science, Boston University, Boston, MA 02215, USA. ksotirop@bu.edu. ^[3] Institute of Communication and Computer Systems (ICCS), School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), Athens 157 80, Greece. papavass@mail.ntua.gr. ^[4]

关键词 Girvan–Newman algorithm Rigel embedding community detection data clustering edge-betweenness centrality hyperbolic network embedding smart-cities/buildings

DOI 10.3390/s18041205

PMID 29662043

发布时间 2018-11-14

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