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المساهمون: Models for the performance analysis and the control of networks (MAESTRO), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Faculty of Electrical Engineering, Mathematics and Computer Science [Twente] (EEMCS), University of Twente [Netherlands], Yandex [Moscou], Inria ALU ADR Network Science, European Project: 317672,ICT,FP7-ICT-2011-8,CONGAS(2012), Stochastic Operations Research, University of Twente
المصدر: ICDM 2014-IEEE International Conference on Data Mining
ICDM 2014-IEEE International Conference on Data Mining, Dec 2014, Shenzhen, China. pp.20-29 ⟨10.1109/ICDM.2014.95⟩
IEEE International Conference on Data Mining (ICDM 2014), 20-29
STARTPAGE=20;ENDPAGE=29;TITLE=IEEE International Conference on Data Mining (ICDM 2014)
ICDMمصطلحات موضوعية: FOS: Computer and information sciences, Physics - Physics and Society, Theoretical computer science, METIS-312530, Computer science, Complex networks, FOS: Physical sciences, Central nodes, Physics and Society (physics.soc-ph), computer.software_genre, IR-95323, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer Science - Data Structures and Algorithms, Data Structures and Algorithms (cs.DS), EWI-25881, Extreme value theory, Quick detection, Social and Information Networks (cs.SI), Randomized algorithm, Social network, business.industry, Approximation algorithm, Computer Science - Social and Information Networks, Complex network, Popularity, Algorithm design, Data mining, business, computer
وصف الملف: application/octet-stream