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dc.contributor.author김상욱-
dc.date.accessioned2019-04-17T07:20:29Z-
dc.date.available2019-04-17T07:20:29Z-
dc.date.issued2016-12-
dc.identifier.citation한국콘텐츠학회 ICCC 2016, v. 14, NO 2, Page. 41-42en_US
dc.identifier.urihttp://www.dbpia.co.kr/Journal/ArticleDetail/NODE07085501-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/102269-
dc.description.sponsorshipThis work was supported by the National Research Foundation of Korea(NRF) Grant funded by the Korean Government(MSIP). (No. 2015R1A5A7037751), the ICT R&D program of MSIP/IITP. [B0101-15-0266, Development of High Performance Visual BigData Discovery Platform for Large-Scale Realtime Data Analysis], and MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8501-16-1013) supervised by the IITP Institute for Information & communication Technology Promotion)en_US
dc.language.isoenen_US
dc.publisherICCC2016en_US
dc.titleInfluence Maximization: Performance Evaluationen_US
dc.typeArticleen_US
dc.relation.no2-
dc.relation.volume14-
dc.relation.page41-42-
dc.contributor.googleauthorCho, Kyung-Jae-
dc.contributor.googleauthorKo, Yun-Yong-
dc.contributor.googleauthorKim, Sang-Wook-
dc.contributor.googleauthorKim, Han-Sung-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidwook-
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COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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