Cited 2 time in
A Study on Big Data New Technology Trends and Market Prospects
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hye-Sun, Kim | - |
| dc.contributor.author | Ho-Bing, Song | - |
| dc.contributor.author | Jong-Suk, Lee | - |
| dc.date.accessioned | 2024-09-26T10:31:05Z | - |
| dc.date.available | 2024-09-26T10:31:05Z | - |
| dc.date.issued | 2016-11 | - |
| dc.identifier.issn | 1936-6612 | - |
| dc.identifier.issn | 1936-7317 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/24541 | - |
| dc.description.abstract | Big data is already beyond the SNS analysis and trend analysis take place as a key strategy in the business area actively utilized. In this paper, thus it is collecting a vast data store holding the technology trends and practices of successful companies utilizing them for processing was to discuss the technical outlook. Big Data is now enabled for the need to develop the skills and means necessary to access and for the collection and management of stored digital data to vastly improve a productivity advantage of big data and create innovative possibilities. In addition, secure the converged talents of humanities and engineering for this purpose and the need to equip the organization, big data spread establish an open data incubator schemes for SME support policies for, and data standards illustrates a data processing network construction, etc. It should be promoted. And it should be personalized so that modern society provides customized information for each member, management and analysis of data quality can be measured and how to develop a value creation and how all users within your company are highly proficient in data manipulation and analysis. | - |
| dc.format.extent | 4 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | AMER SCIENTIFIC PUBLISHERS | - |
| dc.title | A Study on Big Data New Technology Trends and Market Prospects | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1166/asl.2016.7972 | - |
| dc.identifier.scopusid | 2-s2.0-85013391380 | - |
| dc.identifier.wosid | 000399358000082 | - |
| dc.identifier.bibliographicCitation | ADVANCED SCIENCE LETTERS, v.22, no.11, pp 3563 - 3566 | - |
| dc.citation.title | ADVANCED SCIENCE LETTERS | - |
| dc.citation.volume | 22 | - |
| dc.citation.number | 11 | - |
| dc.citation.startPage | 3563 | - |
| dc.citation.endPage | 3566 | - |
| dc.type.docType | Proceedings Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
| dc.relation.journalWebOfScienceCategory | Multidisciplinary Sciences | - |
| dc.subject.keywordAuthor | Big Data | - |
| dc.subject.keywordAuthor | Technology Trends | - |
| dc.subject.keywordAuthor | Market Prospects | - |
| dc.subject.keywordAuthor | Data Quality Analysis | - |
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