A knowledge based system for mining association rules for video categories
文献类型：会议论文
| 作者 | Rashed, Mustafa; Xu, Renfeng; Zhu, Dingju |
| 出版日期 | 2012 |
| 会议名称 | 10th International Conference on ICT and Knowledge Engineering (ICT&KE) |
| 会议地点 | Siam Univ, Bangkok, THAILAND |
| 英文摘要 | Video data mining is a challenging research area due to interesting nature of unstructured video data. Generating association rules between items in a largevideo database plays a significant role in the video mining research areas. Applications of video association mining are not limited to the domains of surveillance, meetings, news broadcast, sports, video on demand (VOD), telemedicine, biomedical engineering and as well as online media collections. This paper concentrates on a knowledge-based system to generate association rules for selecting video categories using "Belief Rule Base (BRB)". It has been shown that the system is efficient than traditional association rule mining. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4316]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Rashed, Mustafa,Xu, Renfeng,Zhu, Dingju. A knowledge based system for mining association rules for video categories[C]. 见:10th International Conference on ICT and Knowledge Engineering (ICT&KE). Siam Univ, Bangkok, THAILAND. |
入库方式： OAI收割
来源：深圳先进技术研究院
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