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標(biāo)題: 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 [打印本頁]

作者: risky-drinking    時(shí)間: 2025-3-21 17:21
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作者: 刪除    時(shí)間: 2025-3-21 22:10

作者: BABY    時(shí)間: 2025-3-22 04:05
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.
作者: Foam-Cells    時(shí)間: 2025-3-22 06:24

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作者: OFF    時(shí)間: 2025-3-22 16:13
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.
作者: octogenarian    時(shí)間: 2025-3-22 17:12

作者: Foreshadow    時(shí)間: 2025-3-22 23:13
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
作者: 火光在搖曳    時(shí)間: 2025-3-23 03:06

作者: Melatonin    時(shí)間: 2025-3-23 07:06
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
作者: 松馳    時(shí)間: 2025-3-23 10:08

作者: pacifist    時(shí)間: 2025-3-23 17:34
Linear Regression,Please download the sample Excel files from . for this chapter’s exercises.
作者: 耕種    時(shí)間: 2025-3-23 19:05

作者: assent    時(shí)間: 2025-3-24 01:41
Linear Discriminant Analysis,Please download the sample Excel files from . for this chapter’s exercises.
作者: 約會(huì)    時(shí)間: 2025-3-24 03:38

作者: fulcrum    時(shí)間: 2025-3-24 10:10

作者: 背信    時(shí)間: 2025-3-24 12:18
K-Nearest Neighbors,Please download the sample Excel files from . for this chapter’s exercises.
作者: 寬敞    時(shí)間: 2025-3-24 18:13

作者: 忍受    時(shí)間: 2025-3-24 22:54

作者: MULTI    時(shí)間: 2025-3-25 01:58
Association Analysis,riables to be numeric and only measures the linear relationship, association analysis has no such restriction. Association analysis measures the strength of co-occurrence between two or more variables. It is an effective data mining technique for cross-selling, and it also has applications in biomedical research such as gene network study.
作者: fertilizer    時(shí)間: 2025-3-25 04:00
Artificial Neural Network,and biological process of human neurons. In our brain, millions of neurons work together to generate corresponding outputs from various inputs. This conceptual understanding is taken to develop artificial neural network method, though how neurons work together biologically still needs much research to elucidate.
作者: abreast    時(shí)間: 2025-3-25 08:03
https://doi.org/10.1007/978-1-4842-9771-1Data mining; Excel; machine learning; decision trees; clustering; data classification; linear regresssion;
作者: nominal    時(shí)間: 2025-3-25 13:11

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作者: chalice    時(shí)間: 2025-3-26 00:52
Decision Trees,ods we have learned are parametric, decision tree is a rule-based method. The most critical concept in understanding decision trees is entropy which will 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 mad
作者: 衍生    時(shí)間: 2025-3-26 05:48

作者: Orchiectomy    時(shí)間: 2025-3-26 11:29
Artificial Neural Network,and biological process of human neurons. In our brain, millions of neurons work together to generate corresponding outputs from various inputs. This conceptual understanding is taken to develop artificial neural network method, though how neurons work together biologically still needs much research
作者: 感情    時(shí)間: 2025-3-26 16:20
Text Mining,data mining book will never miss. So far, all the data we have been using are structured data. By definition, structured data indicate that the data are arranged in a specific format such that they can be easily processed by computer programs. The data we have been using have already been arranged i
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