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12/24/2021
TSAX is Trending
Time series mining is an important branch of data mining, as time series...
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10/02/2020
Extreme-SAX: Extreme Points Based Symbolic Representation for Time Series Classification
Time series classification is an important problem in data mining with s...
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10/02/2020
Modifying the Symbolic Aggregate Approximation Method to Capture Segment Trend Information
The Symbolic Aggregate approXimation (SAX) is a very popular symbolic di...
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12/09/2018
Applying Nature-Inspired Optimization Algorithms for Selecting Important Timestamps to Reduce Time Series Dimensionality
Time series data account for a major part of data supply available today...
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07/16/2014
One-Step or Two-Step Optimization and the Overfitting Phenomenon: A Case Study on Time Series Classification
For the last few decades, optimization has been developing at a fast rat...
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12/06/2013
Towards Normalizing the Edit Distance Using a Genetic Algorithms Based Scheme
The normalized edit distance is one of the distances derived from the ed...
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12/06/2013
Particle Swarm Optimization of Information-Content Weighting of Symbolic Aggregate Approximation
Bio-inspired optimization algorithms have been gaining more popularity r...
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12/05/2013