Data warehousing & Data mining

The book "Data Warehousing & Data Mining" is aimed at students and professionals in the IT field who want to familiarize themselves with or implement data warehousing technologies. It provides a comprehensive introduction to the planning, management, design, and analysis of data warehouses in organizations. Additionally, various data mining techniques are discussed, including the challenges that may arise in the practical application of data mining tools. The content is specifically tailored to the needs of students in computer science, engineering, and information technology, and supports learning through exercises and practical examples. Key topics such as information theory, decision trees, Naïve Bayes classifier, distance metrics, partitioning clustering, association analysis, data marts, and operational data stores are covered in detail.