Data Mining Concepts and Techniques | By Jiawei Han | 4th Edition | Academic Publication ( English Medium )

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Data Mining Concepts and Techniques | By Jiawei Han | 4th Edition | Academic Publication ( English Medium ).

📖 Description

The 4th edition of Data Mining: Concepts and Techniques is a comprehensive and authoritative textbook widely used in both academia and industry. Written by leading data mining researchers Jiawei Han, Jian Pei, and Hanghang Tong, this book covers all essential concepts in data mining—from data preprocessing to deep learning and knowledge discovery.

This edition is thoroughly updated to include the latest techniques in data mining, including graph neural networks, deep learning methods (CNNs, RNNs, GNNs), spatiotemporal data mining, and social media analysis. It provides in-depth coverage of data mining tasks like classification, clustering, association rule mining, outlier detection, and pattern evaluation, with practical algorithms and real-world applications.

⭐ Key Features

✅ Up-to-date content: Includes new topics such as deep learning, graph data mining, and time-series analysis.

✅ Algorithmic approach: Pseudocode for all major algorithms enables implementation and understanding.

✅ Application-rich: Demonstrates real-world uses of data mining in business, health care, web data, and more.

✅ Structured learning: Starts with the basics and builds up to advanced topics like mining complex data types.

✅ Tools & techniques: Covers techniques such as decision trees, k-means, Apriori, DBSCAN, FP-growth, PageRank, and more.

✅ Accessible style: Written in a clear, instructional tone with diagrams, examples, and exercises.

✅ Academic use: Suitable for undergraduate and graduate-level data mining or machine learning courses.

✅ Companion website: Includes slides, instructor resources, and datasets for further study and teaching.

Data Mining: Concepts and Techniques" by Jiawei Han is a renowned textbook in the field of data mining and machine learning. It provides a comprehensive overview of the principles, algorithms, methodologies, and applications of data mining. The book covers topics such as data preprocessing, classification, clustering, association analysis, anomaly detection, and mining complex types of data such as text, web, and multimedia data. With a focus on both theoretical foundations and practical implementations, it serves as a valuable resource for students, researchers, and professionals interested in understanding and applying data mining techniques to real-world problems.

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Product Details

SKU / BOOK Code:	Ace-Data-Mining-(E)
Publisher:	Academic Publication
Author:	Jiawei Han
Binding Type:	Paperback
No. of Pages:	752
ISBN-10:	8131267660
ISBN-13:	978-8131267660
Edition:	4th Edition
Language:	English Medium
Publish Year:	2025-06
Weight (g):	2600
Product Condition:	New
Reading Age:	Above 10 Years
Country of Origin:	India
Genre:	Textbooks & Study Guides
Manufacturer:	Academic Publication
Importer:	Academic Publication
Packer:	Fullfilled by Supplier

Product Description

Data Mining Concepts and Techniques | By Jiawei Han | 4th Edition | Academic Publication ( English Medium ).

📖 Description

The 4th edition of Data Mining: Concepts and Techniques is a comprehensive and authoritative textbook widely used in both academia and industry. Written by leading data mining researchers Jiawei Han, Jian Pei, and Hanghang Tong, this book covers all essential concepts in data mining—from data preprocessing to deep learning and knowledge discovery.

This edition is thoroughly updated to include the latest techniques in data mining, including graph neural networks, deep learning methods (CNNs, RNNs, GNNs), spatiotemporal data mining, and social media analysis. It provides in-depth coverage of data mining tasks like classification, clustering, association rule mining, outlier detection, and pattern evaluation, with practical algorithms and real-world applications.

⭐ Key Features

✅ Up-to-date content: Includes new topics such as deep learning, graph data mining, and time-series analysis.

✅ Algorithmic approach: Pseudocode for all major algorithms enables implementation and understanding.

✅ Application-rich: Demonstrates real-world uses of data mining in business, health care, web data, and more.

✅ Structured learning: Starts with the basics and builds up to advanced topics like mining complex data types.

✅ Tools & techniques: Covers techniques such as decision trees, k-means, Apriori, DBSCAN, FP-growth, PageRank, and more.

✅ Accessible style: Written in a clear, instructional tone with diagrams, examples, and exercises.

✅ Academic use: Suitable for undergraduate and graduate-level data mining or machine learning courses.

✅ Companion website: Includes slides, instructor resources, and datasets for further study and teaching.

Data Mining: Concepts and Techniques" by Jiawei Han is a renowned textbook in the field of data mining and machine learning. It provides a comprehensive overview of the principles, algorithms, methodologies, and applications of data mining. The book covers topics such as data preprocessing, classification, clustering, association analysis, anomaly detection, and mining complex types of data such as text, web, and multimedia data. With a focus on both theoretical foundations and practical implementations, it serves as a valuable resource for students, researchers, and professionals interested in understanding and applying data mining techniques to real-world problems.

Search Key - Data Mining Concepts and Techniques 4th edition, , Jiawei Han data mining book, , Data mining textbook by Han Pei Tong, , Jiawei Han 2022 data mining edition, , Data mining classification and clustering techniques, , Data mining association rule mining, , Data mining frequent pattern analysis, , Deep learning in data mining Jiawei Han, , Graph data mining book 4th edition, , Data mining decision tree algorithm, , Apriori algorithm in data mining, , FP-growth algorithm explanation, , Data mining outlier detection methods, , K-means clustering data mining, , PageRank in data mining, , Spatiotemporal data mining Jiawei Han, , Data mining in healthcare and business, , Text mining and sentiment analysis book, , Mining social network data Jiawei Han, , Machine learning with data mining concepts, , RNN and CNN in data mining, , Graph neural networks in data mining, , Data warehouse and OLAP concepts, , Knowledge discovery in databases book, , Advanced topics in data mining, , Data mining algorithm pseudocode examples, , Classification vs clustering in data mining, , Data mining techniques for big data, , Data preprocessing in data mining, , Practical applications of data mining, ,  Data Mining Han, Jiawei Han book, Data Mining textbook, Han Data Mining 4th edition, Data Mining concepts, Data Mining techniques, Data Mining algorithms, Data Mining applications, Data Mining DF, Data Mining solutions, Data Mining problems, Data Mining theory, Jiawei Han author, Data Mining review, Data Mining study guide, Data Mining download, Data Mining online, Data Mining lecture notes, Data Mining syllabus, Data Mining course Language ‏ : ‎ English, Paperback ‏ : ‎ 752 pages, ISBN-10 ‏ : ‎ 8131267660, ISBN-13 ‏ : ‎ 978-8131267660 English Medium.

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