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About Change Log
1. The document discusses pattern recognition techniques for time series data mining. It focuses on representation methods, similarity measures, and classification/clustering algorithms. 2. Time series data is common in fields like astronomy, science, and industry, but poses challenges for data mining due to its massive size, high dimensionality, noise, and structural characteristics. 3. The document reviews pattern recognition approaches for time series, including representations, dimensionality reduction techniques, and similarity measures, as well as supervised, unsupervised, and semi-supervised learning algorithms. It also discusses applications to astronomical time series data.
Detailed Information
| Author: | ['KuldeepKaushik'] |
|---|---|
| Publication Year: | 2019 |
| Pages: | 28 |
| Language: | English |
| Format: | |
| Price: | FREE |
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