| 模糊关联规则挖掘和推理系统 |
| |
| 引用本文： | 方睿,黄方胜.模糊关联规则挖掘和推理系统[J].计算机系统应用,2011,20(5):9-13. |
| |
| 作者姓名： | 方睿 黄方胜 |
| |
| 作者单位： | 武汉大学,计算机学院,武汉,430072 |
| |
| 摘 要： | 为了准确对用户的消费提供个性化建议,智能推荐系统应运而生.对智能推荐系统体系结构及实现方法进行了有益的探索,将模糊聚类、模糊关联规则挖掘与模糊推理相结合,设计并实现了一个原型智能推荐系统.该系统在经过实际数据运行后,经过模糊聚类、模糊关联规则挖掘和规则筛选,并经过模糊推理,系统可以给出一些符合实际背景的结论.
|
| 关 键 词： | 智能推荐 模糊规则 模糊推理 FuzzyJess FCM |
| 收稿时间： | 9/8/2010 12:00:00 AM |
| 修稿时间： | 2010/11/15 0:00:00 |
Recommendation System Based on Fuzzy Association Rules Mining and Inference |
| |
| FANG Rui and HUANG Fang-Sheng.Recommendation System Based on Fuzzy Association Rules Mining and Inference[J].Computer Systems& Applications,2011,20(5):9-13. |
| |
| Authors: | FANG Rui and HUANG Fang-Sheng |
| |
| Affiliation: | FANG Rui,HUANG Fang-Sheng(Computer School,Wuhan University,Wuhan 430072,China) |
| |
| Abstract: | In order to provide personalized suggestions for consumers in a more accurate way,Intelligent Recommendation System(IRS) has emerged.This study made a meaningful exploration on its structure and its implementation.By combining the fuzzy clustering,fuzzy association rules mining and fuzzy reasoning,this study designed and implemented an original IRS.It could give more matching suggestions based on the authentic data and the operation of fuzzy clustering,fuzzy associations rules mining,rules filtering,and fuz... |
| |
| Keywords: | intelligent recommendation fuzzy rules fuzzy reasoning fuzzy Jess FCM |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
