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There are several excellent books on data mining that cater to different levels of expertise, from beginners to advanced practitioners. The "best" book for you depends on your current knowledge level, specific interests, and the depth of understanding you seek. Here are some highly recommended books on data mining:
"Introduction to Data Mining" by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar:
"Data Mining: Concepts and Techniques" by Jiawei Han, Micheline Kamber, and Jian Pei:
"Mining of Massive Datasets" by Jure Leskovec, Anand Rajaraman, and Jeff Ullman:
"Pattern Recognition and Machine Learning" by Christopher M. Bishop:
"Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management" by Gordon S. Linoff and Michael J. A. Berry:
"Python Machine Learning" by Sebastian Raschka and Vahid Mirjalili:
"Data Science for Business" by Foster Provost and Tom Fawcett:
Remember that the field of data mining is broad, and your choice of book may also depend on your specific interests within the discipline. Consider your background, goals, and the level of detail you are looking for when selecting a book. Additionally, exploring online resources, tutorials, and practical projects can complement your learning experience.
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