Online mining of recent music query streams
| dc.citation.epage | 1988 | en_US |
| dc.citation.spage | 1985 | en_US |
| dc.contributor.author | Li, Hua-Fu | en_US |
| dc.contributor.author | Ho, Chin-Chuan | en_US |
| dc.contributor.author | Shan, Man-Kwan | en_US |
| dc.contributor.author | Lee, Suh-Yin | en_US |
| dc.contributor.department | 資訊工程學系 | zh_TW |
| dc.contributor.department | Department of Computer Science | en_US |
| dc.date.accessioned | 2014-12-08T15:25:06Z | |
| dc.date.available | 2014-12-08T15:25:06Z | |
| dc.date.issued | 2006 | en_US |
| dc.description.abstract | Mining multimedia data is one of the most important issues in data mining. In this paper, we propose an online one-pass algorithm to mine the set of frequent temporal patterns in online music query streams with a sliding window. An effective bit-sequence representation is used to reduce the processing time and memory needed to slide the windows. Experiments show that the proposed algorithm only needs a half of memory requirement of original music query data, and just scans the data once. | en_US |
| dc.identifier.doi | 10.1109/ICME.2006.262948 | en_US |
| dc.identifier.isbn | 978-1-4244-0366-0 | en_US |
| dc.identifier.journal | 2006 IEEE International Conference on Multimedia and Expo - ICME 2006, Vols 1-5, Proceedings | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1109/ICME.2006.262948 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/17475 | |
| dc.identifier.wosnumber | WOS:000245384804058 | |
| dc.language.iso | en_US | en_US |
| dc.title | Online mining of recent music query streams | en_US |
| dc.type | Proceedings Paper | en_US |