An Indexable Time Series Dimensionality Reduction Method for Maximum Deviation Reduction and Similarity Search
(2022)
Presentation / Conference Contribution
Xue, R., Yu, W., & Wang, H. (2022, March). An Indexable Time Series Dimensionality Reduction Method for Maximum Deviation Reduction and Similarity Search. Presented at International Conference on Extending Database Technology (ACM EDBT'22)), Edinburgh, UK and online
Similarity search over time series is essential in many applications. However, it may cause “the curse of dimensionality” due to the high dimensionality of time series. Various dimensionality reduction methods have been developed. Some of them sacrif... Read More about An Indexable Time Series Dimensionality Reduction Method for Maximum Deviation Reduction and Similarity Search.