Data Mining: Concepts And Techniques | By Jiawei Han | Revised Edition | Elsevier Publication ( English Medium )

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Data Mining: Concepts And Techniques | By Jiawei Han | Revised Edition | Elsevier Publication ( English Medium ).

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks. Data Mining: Concepts and Techniques" is a globally acclaimed textbook that provides a solid foundation in data mining — the process of discovering patterns and knowledge from large amounts of data. This book covers both the theoretical background and practical methods involved in data preprocessing, pattern discovery, classification, clustering, and advanced data mining techniques.

Written in a clear, structured, and comprehensive style, the book is designed for computer science students, data analysts, and machine learning practitioners looking to gain in-depth knowledge in the field.

🌟 Key Features:

✅ Comprehensive coverage of core data mining concepts

📊 Detailed explanation of data preprocessing, data warehousing, OLAP

🔍 Frequent pattern mining, association rules, and sequential patterns

🤖 Classification and prediction techniques with decision trees, Bayesian methods, etc.

🧠 Deep dive into clustering methods (K-means, hierarchical, density-based)

📚 Covers advanced topics like graph mining, text mining, and web mining

💡 Updated content with real-world examples and use cases

📝 End-of-chapter exercises and projects for hands-on learning

🌐 Includes discussion on data privacy and ethical considerations

🎓 Ideal for academic learning, research, and professional reference

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Product Details

SKU / BOOK Code:	Elsvr-Data-Mng-Concpt-&-Tshnq-(E)
Publisher:	Elsevier Publication
Author:	Jiawei Han
Binding Type:	Paperback
No. of Pages:	752
ISBN-10:	8131267660
ISBN-13:	978-8131267660
Edition:	Revised Edition
Language:	English Medium
Publish Year:	2025-04
Weight (g):	2600
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Engineering Books
Manufacturer:	Elsevier Publication
Importer:	Elsevier Publication
Packer:	Fullfilled by Supplier

Product Description

Data Mining: Concepts And Techniques | By Jiawei Han | Revised Edition | Elsevier Publication ( English Medium ).

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge, and models from various kinds of data for diverse applications. Specifically, it delves into the processes for uncovering patterns and knowledge from massive collections of data, known as knowledge discovery from data, or KDD. It focuses on the feasibility, usefulness, effectiveness, and scalability of data mining techniques for large data sets. Presents a comprehensive new chapter on deep learning, including improving training of deep learning models, convolutional neural networks, recurrent neural networks, and graph neural networks. Data Mining: Concepts and Techniques" is a globally acclaimed textbook that provides a solid foundation in data mining — the process of discovering patterns and knowledge from large amounts of data. This book covers both the theoretical background and practical methods involved in data preprocessing, pattern discovery, classification, clustering, and advanced data mining techniques.

Written in a clear, structured, and comprehensive style, the book is designed for computer science students, data analysts, and machine learning practitioners looking to gain in-depth knowledge in the field.

🌟 Key Features:

✅ Comprehensive coverage of core data mining concepts

📊 Detailed explanation of data preprocessing, data warehousing, OLAP

🔍 Frequent pattern mining, association rules, and sequential patterns

🤖 Classification and prediction techniques with decision trees, Bayesian methods, etc.

🧠 Deep dive into clustering methods (K-means, hierarchical, density-based)

📚 Covers advanced topics like graph mining, text mining, and web mining

💡 Updated content with real-world examples and use cases

📝 End-of-chapter exercises and projects for hands-on learning

🌐 Includes discussion on data privacy and ethical considerations

🎓 Ideal for academic learning, research, and professional reference

Search Key - Data Mining Concepts Book Jiawei Han, , Jiawei Han Data Mining Latest Edition, , Data Mining Book for CS Students, , Data Mining Techniques Explained, , Data Mining Classification Algorithms, , Han Kamber Pei Data Mining, , Best Book for Learning Data Mining, , Elsevier Data Mining Book, , Data Mining with Real World Examples, , Data Mining for Machine Learning, , Data Warehousing and OLAP Han, , Data Mining Frequent Pattern Mining, , Decision Trees in Data Mining, , Clustering Techniques Jiawei Han, , K-means Clustering Explained, , Data Mining for Beginners, , Advanced Data Mining Methods, , Graph and Web Mining Concepts, , Text Mining with Examples, , Association Rule Mining Algorithms, , Sequential Pattern Mining Book, , Data Mining Interview Preparation, , Classification vs Prediction Data Mining, , Data Mining Projects for Students, , Data Mining Subject Reference Book, , Ethics in Data Mining, , Data Mining Algorithm Guide, , Data Mining Course Textbook, , Data Science Book Jiawei Han, , Data Mining Book  Alternative Publisher ‏ : ‎ Elsevier; Standard Edition (21 November 2022); CBSPD, Language ‏ : ‎ English, Paperback ‏ : ‎ 752 pages, ISBN-10 ‏ : ‎ 8131267660, ISBN-13 ‏ : ‎ 978-8131267660.

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