Data mining new edition

You're referring to the popular book "Data Mining: Concepts and Techniques" by Jiawei Han, Micheline Kamber, and Jian Pei!

The book is now in its 3rd edition, published in 2012. Here's a brief overview:

Book Description:

Data Mining: Concepts and Techniques, 3rd Edition, provides a comprehensive introduction to the concepts and techniques of data mining. The book covers the fundamental principles, algorithms, and applications of data mining, including data preprocessing, pattern evaluation, and knowledge representation.

Key Features:

  1. Comprehensive coverage: The book covers a wide range of topics, including data preprocessing, clustering, classification, regression, association rule mining, and text mining.
  2. Mathematical foundations: The authors provide a solid mathematical foundation for data mining, including probability theory, statistics, and linear algebra.
  3. Algorithmic details: The book provides detailed descriptions of various data mining algorithms, including k-means, decision trees, and support vector machines.
  4. Real-world applications: The authors illustrate the practical applications of data mining in various domains, such as marketing, healthcare, and finance.
  5. Case studies: The book includes several case studies that demonstrate the use of data mining techniques in real-world scenarios.

Target Audience:

The book is designed for students, researchers, and practitioners who want to learn about data mining. It's suitable for:

  1. Undergraduate and graduate students: The book provides a comprehensive introduction to data mining, making it an excellent textbook for courses on data mining, machine learning, and artificial intelligence.
  2. Researchers: The book provides a solid foundation for researchers who want to explore advanced topics in data mining, such as deep learning and graph mining.
  3. Practitioners: The book offers practical insights and techniques that can be applied to real-world problems in various industries.

Editions:

The book has been published in three editions:

  1. 1st Edition (2001): The first edition was published in 2001 and introduced the field of data mining to a wider audience.
  2. 2nd Edition (2005): The second edition was published in 2005 and updated the content to reflect the rapid growth of the field.
  3. 3rd Edition (2012): The third edition was published in 2012 and includes new chapters on topics such as text mining, graph mining, and social network analysis.

Overall, "Data Mining: Concepts and Techniques" is a classic book in the field of data mining, providing a comprehensive introduction to the concepts, techniques, and applications of data mining.