Compression Schemes for Mining Large Datasets: A Machine Learning Perspective - Couverture souple
Livre 35 sur 86: Advances in Computer Vision and Pattern Recognition
Synopsis
Introduction
Data Mining Paradigms
Run-Length Encoded Compression Scheme
Dimensionality Reduction by Subsequence Pruning
Data Compaction through Simultaneous Selection of Prototypes and Features
Domain Knowledge-Based Compaction
Optimal Dimensionality Reduction
Big Data Abstraction through Multiagent Systems
Intrusion Detection Dataset - Binary Representation
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