The illustrations in this book are created by "Team Educohack".
Mastering Data Mining Techniques is your comprehensive guide to extracting valuable insights from corporate databases. This book demonstrates how data mining has evolved into an essential tool for modern business, with updates and revisions to all chapters, plus new additions.
We provide clear explanations of complex topics using concise language, minimizing jargon and formulas. Technical subjects are illustrated with real-world examples and case studies, offering practical tips for marketing analysts, business managers, and data mining professionals. We cover linear and logistic regression, clustering methods, and an overview of data mining applications, establishing a business context and methodologies common to all projects.
Data mining is a crucial step in the KDD process, used for conceptual explanations, related analysis, model construction, data clustering, and time-series trend modeling. We emphasize the importance of measures of interest, detailing their relevance and guiding the data mining process.
The book also explores data warehousing and multidimensional databases as interlayers between data sources, allowing integration of online analytical processing and data mining. Starting with an overview of data warehousing concepts, we propose an integrated OLAM architecture.
