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Index
Cover Frontmatter 1. Introduction 2. Data Mining Paradigms 3. Run-Length-Encoded Compression Scheme 4. Dimensionality Reduction by Subsequence Pruning 5. Data Compaction Through Simultaneous Selection of Prototypes and Features 6. Domain Knowledge-Based Compaction 7. Optimal Dimensionality Reduction 8. Big Data Abstraction Through Multiagent Systems Backmatter
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