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Titlebook: Learn Data Mining Through Excel; A Step-by-Step Appro Hong Zhou Book 2023Latest edition Hong Zhou 2023 Data mining.Excel.machine learning.d

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發(fā)表于 2025-3-21 17:21:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Learn Data Mining Through Excel
副標題A Step-by-Step Appro
編輯Hong Zhou
視頻videohttp://file.papertrans.cn/583/582576/582576.mp4
概述Shows how to leverage Excel‘s built-in features without the need for add-ons.Gives you a solid understanding of the popular data mining algorithms.Presents a step-by-step approach to reinforce underst
圖書封面Titlebook: Learn Data Mining Through Excel; A Step-by-Step Appro Hong Zhou Book 2023Latest edition Hong Zhou 2023 Data mining.Excel.machine learning.d
描述.Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how...?..This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You’ll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages..?..Over the course of .Learn Data Mining Through Excel., you will learn the data mining advantages the application offers when the data sets are not too large. You’ll see how to use Excel’s built-in features to create visual representations of your data, enabling you to present your findings in an accessible format
出版日期Book 2023Latest edition
關(guān)鍵詞Data mining; Excel; machine learning; decision trees; clustering; data classification; linear regresssion;
版次2
doihttps://doi.org/10.1007/978-1-4842-9771-1
isbn_softcover978-1-4842-9770-4
isbn_ebook978-1-4842-9771-1
copyrightHong Zhou 2023
The information of publication is updating

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Decision Trees,ill be explained soon. A tree is composed of nodes and the leaves are the bottom nodes. At each node except for the leaf nodes, a decision must be made to split the node into at least two branches. Figure 10-1 depicts a sample decision tree structure.
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Text Mining,n a table format, a format that is requested by all the data mining methods we have learned. However, text data, what text mining methods work with, is a form of unstructured data and is usually sequential data. Other forms of unstructured data include audio files, images, etc.
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Book 2023Latest editionse of .Learn Data Mining Through Excel., you will learn the data mining advantages the application offers when the data sets are not too large. You’ll see how to use Excel’s built-in features to create visual representations of your data, enabling you to present your findings in an accessible format
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Hong ZhouShows how to leverage Excel‘s built-in features without the need for add-ons.Gives you a solid understanding of the popular data mining algorithms.Presents a step-by-step approach to reinforce underst
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