Predicting Box-office Performance: A Hybrid Framework Based on the Combination of Traditional and Big-data Mining Algorithms
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 예상준 | ko |
| dc.contributor.author | 이문용 | ko |
| dc.contributor.author | 송환준 | ko |
| dc.contributor.author | 김현영 | ko |
| dc.contributor.author | 유강재 | ko |
| dc.contributor.author | 김철 | ko |
| dc.date.accessioned | 2016-07-07T08:02:25Z | - |
| dc.date.available | 2016-07-07T08:02:25Z | - |
| dc.date.created | 2015-12-28 | - |
| dc.date.issued | 2015-12-12 | - |
| dc.identifier.citation | International Conference on Convergence Content 2015 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/210256 | - |
| dc.language | English | - |
| dc.publisher | 한국콘텐츠학회 | - |
| dc.title | Predicting Box-office Performance: A Hybrid Framework Based on the Combination of Traditional and Big-data Mining Algorithms | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | International Conference on Convergence Content 2015 | - |
| dc.identifier.conferencecountry | MY | - |
| dc.identifier.conferencelocation | The Pacific Sutera Hotel, Kota Kinabalu, Sabah, Malaysia | - |
| dc.contributor.localauthor | 이문용 | - |
| dc.contributor.nonIdAuthor | 송환준 | - |
| dc.contributor.nonIdAuthor | 김현영 | - |
| dc.contributor.nonIdAuthor | 유강재 | - |
| dc.contributor.nonIdAuthor | 김철 | - |
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