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Data Mining – Practical Machine Learning Tools and Techniques, Second Edition PDF download free link is available in this article. Below, you may read this book’s summary to understand the basic concept. Furthermore, using the Download PDF link, you can get Data Mining in PDF edition at our free book library website, PDFRat. You can even read PDF books online at our website.

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PDF Name: Data Mining
Author: Ian H. Witten & Eibe Frank
Book’s Language: English
Published Year: 2005
Pages: 558
File Size: 7.76 MB
Downloads Type: Free PDF Download Books
PDF File Name: Data-Mining-PDFRat-.pdf
Read PDF Online: Read Data Mining Book PDF Online
Category of the Book: Business & Career
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Summary of Data Mining by Ian H. Witten & Eibe Frank

“Data Mining: Practical Machine Learning Tools and Techniques, Second Edition” Highlights

It teaches data mining and machine learning.
The second edition focuses practical data mining and incorporates new tools and approaches.
The document covers data mining, machine learning, and their applications.
The book explains data mining basics and how to extract usable information from massive databases.
It illustrates real-world classification, clustering, association analysis, and anomaly detection.
Decision trees, neural networks, support vector machines, and ensemble approaches are discussed.
Data preprocessing, including data cleansing, feature selection, and dimensionality reduction, is required for analysis.
The book stresses data mining model evaluation and validation and includes advice on how to minimize overfitting.
The document includes examples and case studies of data mining in healthcare, banking, and marketing.
Data mining ethical issues include privacy, bias, and model interpretability.
Data mining and machine learning professionals Ian H. Witten, Eibe Frank, and Mark A. Hall wrote the book.
Data mining students, researchers, and professionals can benefit from the document.

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