INTRODUCTION TO DATA MINING 2ND EDITION

Book Details

• Author: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, Vipin Kumar

• Brand: Pearson India Education Services Pvt. Ltd.

• Edition: Second Edition

• Binding: Paperback

• Number of Pages: 856

• Release Date: 30th May 2021

• ISBN: 9789354491047

• Package Dimensions: 9.3 x 6.9 x 1.7 inches

• Languages: English

About The Book
The second edition of Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar provides a comprehensive and up-to-date introduction to the field of data mining. Spanning 856 pages, this edition incorporates the latest developments in data mining techniques and algorithms, offering a clear and accessible approach to the topic.

The book covers foundational topics in data mining, including data preprocessing, classification, clustering, regression, and association rule mining. Additionally, it introduces more advanced topics such as anomaly detection, ensemble methods, and the role of machine learning in data mining. Real-world applications and case studies are included throughout, providing practical examples of how data mining techniques are used to solve complex problems.

This edition also features new material on deep learning, big data analytics, and the ethical considerations surrounding data mining, ensuring that readers are equipped with the knowledge necessary to work with modern data mining tools and technologies.

With its detailed explanations, extensive problem sets, and thorough coverage of essential concepts, this book is an invaluable resource for students, researchers, and professionals interested in mastering the techniques and applications of data mining.