Location recommendation system using big data
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, K.-Y. | - |
dc.contributor.author | Kang, J.-J. | - |
dc.contributor.author | Ahn, H.-K. | - |
dc.contributor.author | Kim, K.-H. | - |
dc.contributor.author | Choi, G.-S. | - |
dc.contributor.author | Choi, S.-J. | - |
dc.contributor.author | Oh, S.-J. | - |
dc.date.available | 2020-02-28T18:44:32Z | - |
dc.date.created | 2020-02-12 | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1975-0080 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/12978 | - |
dc.description.abstract | Active SNS and the amount of data which increases very fast these days, at WEF, the first remarkable technology of arising 10th technology of 2012 is called Big Data. Big Data extracts the value of collected, saved, analyzed, and processed large data by using database management tool. In this paper, the data structured and unstructured on SNS has set its position through abstracting significant information from the Big Data technology. From this Big Data, more information can be achieved to set position by abstracting materials from unstructured data. © 2014 SERSC. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Science and Engineering Research Support Society | - |
dc.relation.isPartOf | International Journal of Multimedia and Ubiquitous Engineering | - |
dc.subject | Abstracting | - |
dc.subject | Data mining | - |
dc.subject | Data technologies | - |
dc.subject | Database management | - |
dc.subject | Large data | - |
dc.subject | Position | - |
dc.subject | SNS | - |
dc.subject | Text mining | - |
dc.subject | Unstructured data | - |
dc.subject | Big data | - |
dc.title | Location recommendation system using big data | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.doi | 10.14257/ijmue.2014.9.5.32 | - |
dc.identifier.bibliographicCitation | International Journal of Multimedia and Ubiquitous Engineering, v.9, no.5, pp.317 - 325 | - |
dc.identifier.scopusid | 2-s2.0-84901937683 | - |
dc.citation.endPage | 325 | - |
dc.citation.startPage | 317 | - |
dc.citation.title | International Journal of Multimedia and Ubiquitous Engineering | - |
dc.citation.volume | 9 | - |
dc.citation.number | 5 | - |
dc.contributor.affiliatedAuthor | Choi, S.-J. | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Big Data | - |
dc.subject.keywordAuthor | Position | - |
dc.subject.keywordAuthor | SNS | - |
dc.subject.keywordAuthor | Text Mining | - |
dc.subject.keywordPlus | Abstracting | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | Data technologies | - |
dc.subject.keywordPlus | Database management | - |
dc.subject.keywordPlus | Large data | - |
dc.subject.keywordPlus | Position | - |
dc.subject.keywordPlus | SNS | - |
dc.subject.keywordPlus | Text mining | - |
dc.subject.keywordPlus | Unstructured data | - |
dc.subject.keywordPlus | Big data | - |
dc.description.journalRegisteredClass | scopus | - |
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