Data Mining

Data Mining: Concepts and Techniques, 4th Edition, authored by Jiawei Han, Jian Pei, and Hanghang Tong, is a 752-page computer science textbook designed for upper-level undergraduate and graduate study. The work introduces core principles, foundational concepts, and computational methods for mining patterns, knowledge, and operational models from massive data collections, maintaining a central focus on knowledge discovery from data.

Initial chapters present methods for data preprocessing, data characterization, data warehousing, and online analytical processing to establish data preparation fundamentals. The exposition subsequently examines primary analytical operations, detailing methods for frequent pattern mining, association and correlation discovery, data classification techniques, cluster analysis methodologies, and systematic outlier detection.

A standalone chapter systematically introduces deep learning models, detailing convolutional neural networks, recurrent neural networks, and graph neural networks. The text fits upper-level computer science curricula while providing clear reference utility for data warehouse engineers, data mining professionals, statisticians, and database researchers.