Data Mining: Concepts and Techniques

Finding patterns within extensive datasets falls under the scope of data mining. It draws upon techniques from database systems, statistics, and machine learning. Its objective is to convert raw data into a structured format for subsequent analysis. Beyond pattern discovery, data mining includes data pre-processing, data management, online updates, model inference, post-processing, visualization, and complexity management of discovered structures. Using statistical models and machine learning algorithms, data mining reveals concealed patterns within vast data repositories. Its applications span diverse domains including business, medicine, science, and surveillance. The topics included in this book on data mining are of the utmost significance and bound to provide incredible insights to readers. Most of the topics introduced herein cover new concepts and applications of data mining. This book, with its detailed coverage, will prove immensely beneficial to professionals and students involved in this area at various levels.