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检测支付卡大数据集数据的变化:一个案例研究

Detecting Changes in Large Data Sets of Payments Cards Data: A Case Study
课程网址: http://videolectures.net/kdd07_grossman_dcilsp/  
主讲教师: Robert Grossman
开课单位:
开课时间: 2007-08-14
课程语种: 英语
中文简介:
数据挖掘中的一个重要问题是检测大的变化数据集。虽然有各种变化检测算法已经开发出来的,在实践中它可能是一个问题由于这些算法的异质性,将这些算法扩展到大数据集数据。在本文中,我们描述了涉及支付的案例研究卡片数据,我们在其中构建并监控单独的变更检测多维数据立方体中每个单元格的模型。我们 描述了过去两年一直在运行的系统构建和监控超过15,000个单独的基线模型和用于生成和调查警报的过程。
课程简介: An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it can be a problem to scale these algorithms to large data sets due to the heterogeneity of the data. In this paper, we describe a case study involving payment card data in which we built and monitored a separate change detection model for each cell in a multi-dimensional data cube. We describe a system that has been in operation for the past two years that builds and monitors over 15,000 separate baseline models and the process that is used for generating and investigating alerts using these baselines.
关 键 词: 数据挖掘; 变化数据集; 多维数据立方体; 基线模型
课程来源: 视频讲座网
最后编审: 2020-07-17:yumf
阅读次数: 74