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Data Mining: The Textbook by Charu C. Aggarwal, ISBN-13: 978-3319141411
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"Data Mining: The Textbook" by Charu C. Aggarwal provides a comprehensive introduction to the field of data mining, covering essential concepts, techniques, and applications. The book explores various data mining methods, including classification, clustering, association rule mining, and anomaly detection, while emphasizing the importance of data preprocessing and evaluation. With a blend of theoretical foundations and practical examples, Aggarwal highlights the challenges posed by big data and presents state-of-the-art algorithms, making it an invaluable resource for students, researchers, and practitioners seeking to understand and apply data mining techniques effectively.
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**Title:** Data Mining: The Textbook
**Author:** Charu C. Aggarwal
**ISBN-13:** 978-3319141411
**Publisher:** Springer
**Publication Year:** 2015
**Series:** Springer Texts in Statistics
**Pages:** 744
**Language:** English
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"Data Mining: The Textbook" by Charu C. Aggarwal serves as an essential resource for both students and professionals, providing a comprehensive overview of data mining concepts, techniques, and applications. The book effectively balances theoretical foundations with practical examples, making it accessible and engaging. It covers various topics, from basic principles to advanced methods, equipping readers with the skills necessary to tackle real-world data challenges. Aggarwal's clear writing style and structured approach enhance comprehension, while the inclusion of case studies and exercises encourages hands-on learning. Overall, it stands out as a definitive guide to understanding and applying data mining techniques in diverse fields.
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PDF – ePub: Data Mining: The Textbook by Charu C. Aggarwal, ISBN-13: 978-3319141411
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