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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-mining-with-rattle-s/
课程评论：没有评论
课程名称：使用Rattle进行数据挖掘 概述：本课程将教授Rattle图形用户界面（GUI），这是一种用于数据挖掘的交互式工具。Rattle是一款免费的开源软件包，它为使用R统计编程语言进行的数据挖掘提供了一个图形用户界面。Rattle通常用于各种应用场景，提供强大的数据挖掘功能，并通过图形界面揭示R统计软件的强大功能。此外，Rattle还作为学习R软件语言的教学工具，方便用户掌握相关知识。课程中设有日志代码选项卡，可以复制和粘贴记录在GUI中进行的任何活动所对应的R代码。Rattle支持统计分析和模型生成，能够将数据集分为训练集、验证集和测试集，用户可以查看和编辑数据集，还可以对外部数据文件进行评分。 数据挖掘是对数据进行分析以及使用软件技术以发现数据集中的模式和规律。计算机通过识别数据中的潜在规则和特征来寻找这些模式。数据挖掘的实际任务是对大量数据进行半自动或自动分析，以提取先前未知的有趣模式，例如数据记录的分组。 该课程适合希望深入了解数据挖掘技术以及Rattle工具的学习者，帮助他们利用数据挖掘技术发现有价值的信息。
In this course, you will learn about Rattle GUI which is an interactive tool for data mining. Rattle GUI is a free and open-source software package providing a graphical user interface (GUI) for data mining using the R statistical programming language. Rattle is used in a variety of situations. Rattle provides considerable data mining functionality by exposing the power of the R Statistical Software through a graphical user interface. Rattle is also used as a teaching facility to learn the R software Language. There is a Log Code tab, which replicates the R code for any activity undertaken in the GUI, which can be copied and pasted. Rattle can be used for statistical analysis, or model generation. Rattle allows for the dataset to be partitioned into training, validation and testing. The dataset can be viewed and edited. There is also an option for scoring an external data file.Data mining is the analysis of data and the use of software techniques for finding patterns and regularities in sets of data. The computer is responsible for finding the patterns by identifying the underlying rules and features in the data. The actual data mining task is the semi-automatic or automatic analysis of large quantities of data to extract previously unknown, interesting patterns such as groups of data records
