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dc.contributor.author최중민-
dc.date.accessioned2019-05-20T06:16:03Z-
dc.date.available2019-05-20T06:16:03Z-
dc.date.issued2008-09-
dc.identifier.citation2008 Fourth International Conference on Networked Computing and Advanced Information Management, Page. 325 - 328en_US
dc.identifier.isbn978-076953322-3-
dc.identifier.urihttps://ieeexplore.ieee.org/document/4624027-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/104870-
dc.description.abstractIt is generally difficult for researchers to obtain information related to their own fields and novel technologies from huge data residing in the World Wide Web. Furthermore, they often try to apply them to other particular fields which are different from theirs. The main motivation of this phenomenon is to solve existing problems or improve the performance of their systems. Hence, it is important to detect collaborative fields in which technologies of particular fields are applied to another area to find various trends. In this paper, we propose a method to detect collaborative fields by using social networks representing the relations among authors of papers, and describe some experimental results to show the effectiveness of the proposed method when collaborative fields are detected by using social networks. © 2008 IEEE.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectSocial Networksen_US
dc.subjectRecommendation Systemsen_US
dc.subjectFeature Selectionen_US
dc.titleDetecting Collaborative Fields Using Social Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/NCM.2008.80-
dc.contributor.googleauthorShin, Dongwook-
dc.contributor.googleauthorKang, Jinbeom-
dc.contributor.googleauthorChoi, Joongmin-
dc.contributor.googleauthorYang, Jaeyoung-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF ENGINEERING SCIENCES[E]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING-
dc.identifier.pidjmchoi-
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COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > COMPUTER SCIENCE AND ENGINEERING(컴퓨터공학과) > Articles
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