0


交互式数据挖掘及其业务应用

Interactive Data Mining and Its Business Applications
课程网址: http://videolectures.net/kdd2010_ghani_idmba/  
主讲教师: Rayid Ghani
开课单位: 芝加哥大学
开课时间: 2010-10-01
课程语种: 英语
中文简介:
许多实用的数据挖掘应用程序处理的设置目标是帮助人类专家找到他们感兴趣的罕见病例。欺诈检测,入侵检测,安全应用监控,信息过滤,推荐系统是这些应用的一些示例。所有这些问题中的共同方面是它们涉及交互式分类设置中的用户(或专家),即专家正在与数据挖掘系统的结果交互,并且反过来提供对系统有价值的反馈。数据挖掘系统的竞争目标是使这些专家在执行任务时更加高效和有效,并获得可以随着时间的推移自我改进的反馈。在本次演讲中,我将描述此交互式数据挖掘设置,提供适用此设置的案例研究示例,以及数据挖掘技术如何帮助管理此权衡以构建实用的交互式系统,这些系统不仅有用而且还可以改进
课程简介: A lot of practical data mining applications deal with settings where the goal is to help human experts find rare cases that are of interest to them. Fraud Detection, Intrusion Detection, Surveillance for security applications, Information Filtering, Recommender Systems are some examples of these applications. A common aspect among all of these problems is that they involve users (or experts) in an interactive classification setting, i.e. the experts are interacting with the results of the data mining system and in turn providing feedback that is valuable for the system. The competing goals of the data mining system are to make these experts more efficient and effective in performing their task as well as getting feedback that would allow it to improve itself over time. In this talk, I will describe this interactive data mining setting, give examples of case studies where this setting applies, and how data mining techniques help manage this tradeoff to build practical interactive systems that are not only useful but also improve
关 键 词: 数据挖掘; 交互式分类; 交互式系统
课程来源: 视频讲座网
最后编审: 2019-05-11:lxf
阅读次数: 48