Data Mining: Concepts and Techniques 4th Edition by Jiawei Han (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 53913 R1 0626
- Number of Pages: 786
Rs.1,790.00
Rs.2,395.00
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Key Features:
- Comprehensive Coverage: Covers fundamental concepts such as frequent pattern mining, classification, clustering, and outlier detection.
- New Chapter on Deep Learning: Includes the latest deep learning advancements, such as CNNs, RNNs, and training optimization techniques.
- Advanced Data Mining Applications: Explores applications like sentiment analysis, truth discovery, and information propagation.
- Practical Approach: Emphasizes scalability, effectiveness, and real-world applicability of data mining techniques.
- Illustrative Examples: Step-by-step explanations and practical case studies to enhance understanding.
- Emerging Trends: Covers recent advancements in text mining, spatiotemporal data, and graph/network analysis.
- Exercises & Bibliographic Notes: Each chapter includes exercises for hands-on practice and further reading recommendations.
Topics Covered:
- Data Mining Basics – Concepts, types, and applications of data mining.
- Data Preprocessing – Data cleaning, transformation, and dimensionality reduction.
- Data Warehousing & OLAP – Concepts of data warehouses, schemas, and OLAP operations.
- Pattern Mining – Techniques for finding frequent itemsets, associations, and correlations.
- Classification Techniques – Decision trees, Bayesian classifiers, and SVMs.
- Clustering Methods – Hierarchical, density-based, and high-dimensional clustering techniques.
- Outlier Detection – Identifying anomalies using statistical and machine learning approaches.
- Deep Learning Concepts – Training models and working with CNNs, RNNs, and GNNs.
- Future Trends in Data Mining – Mining social media, spatiotemporal data, and ethical considerations.
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