Introduction To Data Mining Tan Steinbach Kumar Torrent

It looks like you’re referring to the popular textbook “Introduction to Data Mining” by Pang-Ning Tan, Michael Steinbach, Anuj Karpatne, and Vipin Kumar.

Key Details About the Book:

• Title: Introduction to Data Mining
• Authors: Pang-Ning Tan, Michael Steinbach, Anuj Karpatne (later editions), Vipin Kumar
• Publisher: Pearson Education
• First Published: 2005 (with later editions)

Overview of the Book:

This textbook is widely used in academic courses covering data mining concepts. It provides a comprehensive introduction to fundamental techniques, algorithms, and applications in data mining.

Key Topics Covered:

1. Introduction to Data Mining – Basics, challenges, and applications.
2. Data Preprocessing – Cleaning, integration, transformation, reduction.
3. Exploratory Data Analysis – Visualization and statistical summaries.
4. Classification – Decision trees, Bayesian classifiers, SVM, ensemble methods.
5. Association Analysis – Frequent itemset mining (Apriori algorithm).
6. Cluster Analysis – K-means, hierarchical clustering, DBSCAN.
7. Anomaly Detection – Statistical and machine learning approaches.

Why This Book is Popular?

✔ Well-structured explanations suitable for beginners & intermediates.
✔ Includes real-world examples & case studies.
✔ Covers both theoretical foundations & practical applications.

Availability:

• Available in hardcover & e-book formats (e.g., Pearson website or Amazon).
• Some universities provide PDF versions for coursework (check your institution’s library).

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