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MIME:交互式视觉模式挖掘的框架

MIME: A Framework for Interactive Visual Pattern Mining
课程网址: http://videolectures.net/ecmlpkdd2011_moens_interactive/  
主讲教师: Sandy Moens
开课单位: 安特卫普大学
开课时间: 2011-10-03
课程语种: 英语
中文简介:
我们提出了一个交互式视觉模式挖掘的框架。我们的系统使用户能够使用由感兴趣度量,挖掘算法和后处理算法组成的工具箱,以简洁直观的方式浏览数据和模式,以帮助识别有趣的模式。通过交互式挖掘,我们使用户能够将他们的主观兴趣度量和背景知识与各种客观测量相结合,以便轻松快速地剔除最重要和最有趣的模式。基本上,我们使用户成为挖掘算法的重要组成部分。我们的民主当前适用于挖掘有趣的项目集和关联规则,它对剧集和决策树的扩展正在进行中。
课程简介: We present a framework for interactive visual pattern mining. Our system enables the user to browse through the data and patterns easily and intuitively, using a toolbox consisting of interestingness measures, mining algorithms and post-processing algorithms to assist in identifying interesting patterns. By mining interactively, we enable the user to combine their subjective interestingness measure and background knowledge with a wide variety of objective measures to easily and quickly mine the most important and interesting patterns. Basically, we enable the user to become an essential part of the mining algorithm. Our demo currently applies to mining interesting itemsets and association rules, and its extension to episodes and decision trees is ongoing research.
关 键 词: 交互式视觉; 挖掘算法; 后处理算法
课程来源: 视频讲座网
最后编审: 2019-04-03:lxf
阅读次数: 81