Data Mining Concepts And Techniques 4th Edition

Description

Buy Data Mining Concepts And Techniques 4th Edition Old Book, Authored by jiawei han, Elsevier in paperback binding from Used Book Store.

Uncover valuable patterns, knowledge, and models from diverse data sources with this comprehensive guide. This edition dives deep into the knowledge discovery from data (KDD) process, focusing on extracting insights from massive datasets. It emphasizes the practical feasibility, usefulness, effectiveness, and scalability of data mining techniques when applied to large-scale data. The book systematically introduces the concepts and methods of data mining, covering data preprocessing, characterization, and warehousing. It then explores key data mining tasks: Mining Frequent Patterns, Associations, and Correlations: Discovering recurring patterns in large datasets. Data Classification and Model Construction: Building models to categorize data. Cluster Analysis: Grouping similar data points. Outlier Detection: Identifying unusual data instances. A dedicated new chapter offers a comprehensive introduction to deep learning, detailing advancements in model training, convolutional neural networks, recurrent neural networks, and graph neural networks. Further, explore advanced topics including data mining trends and research frontiers, such as mining rich data types (text, spatiotemporal data, and graph/networks), data mining applications (sentiment analysis, truth discovery, and information propagation), data mining methodologies and systems, and the societal impact of data mining. This book provides a practical understanding of the concepts and techniques essential for maximizing data utilization. It is ideal as a textbook for students in computer science, statistics, business, and data science, and serves as a valuable reference for application developers, business professionals, and researchers interested in the principles of data mining.

About the Author

Jiawei Han is a Michael Aiken Chair Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He is a fellow of ACM and IEEE. He received the 2004 ACM SIGKDD Innovation Award.

Jian Pei is currently a professor at Duke University. He is a fellow of the Royal Society of Canada, the Canadian Academy of Engineering, ACM, and IEEE. He received the 2017 ACM SIGKDD Innovation Award at the 2015 ACM SIGKDD Service Award.

Hang Tong is currently an associate professor at the Department of Computer Science, University of Illinois at Urbana-Champaign. He is a distinguished member of ACM and a fellow of IEEE. He is the Editor-in-Chief of SIGKDD Exploration (ACM) and an associate editor of several journals.

Algorithms
Programming & Software Development
Computing, Internet & Digital Media
9788131267660 ISBN
Jiawei Han Book Author