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对比数据挖掘:方法和应用

Contrast Data Mining: Methods and Applications
课程网址: http://videolectures.net/mlss08au_kotagiri_dami/  
主讲教师: Rao Kotagiri
开课单位: 墨尔本大学
开课时间: 2008-03-12
课程语种: 英语
中文简介:
区分,区分和区分不同数据集的能力是数据挖掘的关键目标。这种能力可以帮助领域专家了解他们的数据,并可以帮助建立分类模型。他的演讲将介绍对比不同类型数据的主要技术,涵盖主要数据集变体,如数据的关系,序列和图形,集群以及数据立方体。它还将关注一些重要的现实世界应用领域,说明采矿对比是如何有利的。
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. His presentation will introduce the principal techniques for contrasting different types of data, covering the main dataset varieties such as relational, sequence, and graph forms of data, clusters, as well as data cubes. It will also focus on some important real world application areas that illustrate how mining contrasts is advantageous.
关 键 词: 数据集; 数据挖掘; 采矿对比
课程来源: 视频讲座网
最后编审: 2019-07-23:cwx
阅读次数: 59