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About Zhao Xiaojian
This document is a dissertation submitted by Xiaojian Zhao for the degree of Doctor of Philosophy in Computer Science at New York University in January 2006. The dissertation focuses on developing high performance algorithms for analyzing multiple streaming time series data. It presents algorithms for tasks such as windowed correlation, incremental matching pursuit, and burst detection on time series data. It evaluates the proposed algorithms through empirical experiments and analysis. The dissertation contributes techniques using sketches, convolution, structured random vectors, and other methods to enable efficient analysis of streaming time series data.
Detailed Information
| Author: | ['metalheart597'] |
|---|---|
| Publication Year: | 2010 |
| Pages: | 114 |
| Language: | English |
| Format: | |
| Price: | FREE |
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