首页 | 本学科首页   官方微博 | 高级检索  
     

基于Focus+Context技术关联规则交互挖掘
引用本文:刘发升,刘建生.基于Focus+Context技术关联规则交互挖掘[J].计算技术与自动化,2007,26(1):111-114,118.
作者姓名:刘发升  刘建生
作者单位:1. 江西理工大学,信息工程学院,江西,赣州,341000
2. 江西理工大学,理学院,江西,赣州,341000
基金项目:江西省自然科学基金 , 江西省科技厅科技攻关项目
摘    要:可视化挖掘是数据挖掘的重要研究领域,但目前的研究还主要集中在挖掘结果的可视化,用户对挖掘过程仍然缺乏可控性.本文利用focus context技术实现探索型交互式数据挖掘.充分利用人类用户的认知能力与计算机的数据处理能力,实现用户对挖掘过程的参与从而利用用户领域知识于挖掘过程.适应人类的认知心理,便于帮助用户对挖掘结果的定位、聚焦、理解与评估,进而快速找到相对于当前应用上下文的有价值信息.并实现了一个原型系统IMARFC.

关 键 词:关联规则  focus  context可视化  交互式挖掘  鱼眼视图  Focus  Context  关联规则  交互挖掘  Based  Association  Rules  Mining  原型系统  价值信息  应用上下文  快速  评估  聚焦  定位  认知心理  适应  领域知识  数据处理能力  计算机  认知能力
文章编号:1003-6199(2007)01-0111-04
收稿时间:2006-08-15
修稿时间:2006-08-15

Interactive Mining of Association Rules Based on Focus + Context Technique
LIU Fa-sheng,LIU Jian-sheng.Interactive Mining of Association Rules Based on Focus + Context Technique[J].Computing Technology and Automation,2007,26(1):111-114,118.
Authors:LIU Fa-sheng  LIU Jian-sheng
Affiliation:1. Faculty of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China 2. , Faculty of Science, Jiangxi University of Science and Technology, Ganzhou 341000, China
Abstract:Data mining is an iterative process to uncover novel interesting pattern from data.And human users play an important part for utilizing domain knowledge in the process.In this paper,a method is given for exploratory active mining of association rules based on a novel broad view and detail on demand style focus + context visualization technique.Specifically,the whole process is under the guidance of human users and such makes full use of human's cognitive capability and the computer's data processing power as well.A prototype system IMARFC is developed to show the feasibility our approach.
Keywords:association rules  focus+context visualization  interactive mining  fisheye view
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号