Introduction to Data mining by Pang-Ning TanPearson

is a textbook that introduces the concepts of data mining, focusing on techniques for discovering patterns in large datasets. The book provides insights into various data mining tasks, such as classification, clustering, and association rule mining. Pang-Ning Tan emphasizes the importance of data preprocessing and cleaning for accurate analysis and results. The book explores the role of machine learning algorithms in data mining, explaining supervised and unsupervised learning methods. Additionally, it discusses model evaluation metrics to assess the performance of data mining models effectively. Ethical considerations are also addressed, urging readers to handle sensitive data responsibly. Introduction to Data mining by Pang-Ning TanPearson is rich with practical examples and exercises that help readers understand and apply data mining concepts. Its clear structure and focus on real-world applications make it an invaluable resource for students and professionals alike, offering both fundamental knowledge and advanced topics.