Synthesis Lectures on Data Mining and Knowledge Discovery
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Automated taxonomy discovery: Enables efficient organization of entities and concepts without extensive manual curation
Label-efficient machine learning: Reduces the need for large annotated datasets, making taxonomy creation more accessible
Real-world applications: Discusses practical uses in e-commerce, science, engineering, and policy design
Intuitive examples: Illustrates concepts with clear, practical examples for easier understanding
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Synthesis Lectures on Data Mining and Knowledge Discovery Shen, Jiaming; Han, Jiawei This book provides a principled data-driven framework that progressively constructs, enriches, and applies taxonomies without leveraging massive human annotated data. Traditionally, people construct domain-specific taxonomies by extensive manual curations