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by Jiawei Han, Micheline Kamber, and Jian Pei: Often called the "bible" of data mining, this text covers everything from basic data preprocessing to complex mining of stream and graph data.

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by Ian H. Witten and Eibe Frank: This book is famous for its association with the Weka software, providing a hands-on approach to implementing algorithms. Essential Topics Covered in Data Mining PDFs by Jiawei Han, Micheline Kamber, and Jian Pei:

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: While more focused on statistics, it is a primary resource for data mining fundamentals like regression and classification, available for free with practical R and Python code versions.

Several authoritative books are widely used in university curricula and can be downloaded as PDFs:

Most high-quality data mining PDFs follow a standard structural flow to take you from raw data to actionable knowledge: Data Mining: The Textbook