mining ratio rules via principal sparse non-negative matrix factorization
文献类型：会议论文
| 作者 | Hu CY ; Zhang BY ; Yan SC ; Yang Q ; Yan J ; Chen Z ; Ma WY |
| 出版日期 | 2004 |
| 会议名称 | 4th IEEE International Conference on Data Mining |
| 会议日期 | NOV 01-04, |
| 会议地点 | Brighton, ENGLAND |
| 关键词 | association rules principal sparse nonnegative matrix factorization principle component analysis quantifiable data mining quantitative association knowledge ratio rules mining support measurement data mining matrix decomposition principal compone |
| 页码 | 407-410 |
| 英文摘要 | Association rules are traditionally designed to capture statistical relationship among itemsets in a given database. To additionally capture the quantitative association knowledge, F. Korn et al recently proposed a paradigm named Ratio Rules 4 |
| 收录类别 | ISTP ; IEEE |
| 会议主办者 | IEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence Consortium |
| 会议录出版者 | FOURTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, PROCEEDINGS |
| 会议录出版地 | 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA |
| 语种 | 英语 |
| ISBN号 | 0-7695-2142-8 |
| 源URL | [http://124.16.136.157/handle/311060/12954]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Hu CY,Zhang BY,Yan SC,et al. mining ratio rules via principal sparse non-negative matrix factorization[C]. 见:4th IEEE International Conference on Data Mining. Brighton, ENGLAND. NOV 01-04,. |
入库方式： OAI收割
来源：软件研究所
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