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数据的挖掘

Data Mining
课程网址: http://videolectures.net/ssll09_kotagiri_dami/  
主讲教师: Rao Kotagiri
开课单位: 墨尔本大学
开课时间: 2009-04-01
课程语种: 英语
中文简介:
在数据挖掘中,区分、区分和对比不同数据集的能力是一个关键目标。这种能力可以帮助领域专家了解他们的数据,并有助于建立分类模型。本演示将介绍对比数据集的主要技术。它还将重点介绍一些重要的现实应用领域,这些领域说明了采矿对比是多么有利。
课程简介: The ability to distinguish, differentiate and contrast between different datasets is a key objective in data mining. Such an ability can assist domain experts to understand their data, and can help in building classification models. This presentation will introduce the principal techniques for contrasting datasets. It will also focus on some important real world application areas that illustrate how mining contrasts is advantageous.
关 键 词: 数据挖掘; 数据集; 分类模型
课程来源: 视频讲座网
最后编审: 2020-06-02:张荧(课程编辑志愿者)
阅读次数: 53