280 Things to Know About Data Mining Techniques

This book provides a comprehensive glossary of terms used in data mining techniques. It is a must-have for professionals involved in data science and business intelligence. The glossary covers a wide range of terms, from basic to advanced and from descriptive to predictive modeling techniques.

The book starts with an introduction to the field of data mining and its applications. It then delves into the terminologies used in data mining, including supervised learning, unsupervised learning, scalability, and machine learning algorithms. Each term is explained in a concise and clear way, making it accessible to readers of all levels of expertise.

This glossary serves as a useful tool for students, researchers, and practitioners in the field of data mining. With its comprehensive list of terms and definitions, it provides a valuable reference for those who want to enhance their knowledge of data mining techniques. Whether you are a beginner or an experienced professional, this book will help you navigate the complex world of data mining with ease and confidence.