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质量估计及其应用

Mass Estimation and Its Applications
课程网址: http://videolectures.net/kdd2010_ting_mea/  
主讲教师: Kai Ming Ting
开课单位: 澳大利亚联邦大学
开课时间: 2010-10-01
课程语种: 英语
中文简介:
本文介绍了质量估计 - 数据挖掘中的基础建模机制。它为质量提供了理论基础,也是估算质量的有效方法。我们证明它在信息检索,回归和异常检测等任务中非常有效地解决了问题。在任务特定性能测量方面,在这三个任务中使用质量的模型至少表现出好于并且通常优于总共八个方法状态。此外,质量估计具有恒定的时间和空间复杂度。
课程简介: This paper introduces mass estimation—a base modelling mechanism in data mining. It provides the theoretical basis of mass and an efficient method to estimate mass. We show that it solves problems very effectively in tasks such as information retrieval, regression and anomaly detection. The models, which use mass in these three tasks, perform at least as good as and often better than a total of eight state-of-theart methods in terms of task-specific performance measures. In addition, mass estimation has constant time and space complexities.
关 键 词: 质量估计; 数据挖掘; 基础建模
课程来源: 视频讲座网
最后编审: 2019-05-11:cwx
阅读次数: 57