Data Mining

About this book

Data no longer consists of silent figures stored in a database; it has become the language of strategic decisions. This practical introduction to data mining explains how raw information can reveal consumer behaviour, hidden patterns, and market movements before they become obvious. The author builds a bridge between theory and application, moving from business intelligence fundamentals to decision trees, neural networks, predictive models, and tools such as Orange. Written for students, researchers, and decision-makers, the book shows how modern analytical techniques convert large datasets into usable knowledge. Its central lesson is that value does not lie in collecting ever more information, but in asking the right questions of it, recognizing meaningful structures, and using the resulting insight responsibly in an age increasingly shaped by artificial intelligence.