Publication date
August 2022
DOIAbstract
Exploring the largest triangle three bucket algorithm to downsample time series data
Exploring the largest triangle three bucket algorithm to downsample time series data
In the field of Big Data, multivariate time series collect high dimensional data of observed subject...
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
Many disciplines are faced with the problem of handling time-series data. This study introduces an i...
As human beings, we often wish to visualize certain information in order to make better sense of it....
<p>The basic principle of data reduction to accelerate time series plotting: (a) A computer display ...
This paper proposes a new algorithm,named as the improved bottom-up algorithm,to approximate time se...
Visualization of massively large datasets presents two significant problems. First, the dataset must...
In this thesis, we focus on time-series data, which is commonly used by domain experts in different ...
This thesis develops scalable algorithms and techniques to classify large amount of time series data...
In this paper, an overview-based interactive visualization for temporally long dynamic data sequence...
Time series visualization is a fundamental task in most financial applications. A framework that can...
In recent years, time series motif discovery has emerged as perhaps the most important primitive for...
Time series classification is an important aspect of time series mining. Recently, time series class...
In the first step, a multivariate time series of the kinematics and marker trajectories (left plot, ...
The increasing interest in time series data mining in the last decade has resulted in the introducti...
In the field of Big Data, multivariate time series collect high dimensional data of observed subject...
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
Many disciplines are faced with the problem of handling time-series data. This study introduces an i...
As human beings, we often wish to visualize certain information in order to make better sense of it....
<p>The basic principle of data reduction to accelerate time series plotting: (a) A computer display ...
This paper proposes a new algorithm,named as the improved bottom-up algorithm,to approximate time se...
Visualization of massively large datasets presents two significant problems. First, the dataset must...
In this thesis, we focus on time-series data, which is commonly used by domain experts in different ...
This thesis develops scalable algorithms and techniques to classify large amount of time series data...
In this paper, an overview-based interactive visualization for temporally long dynamic data sequence...
Time series visualization is a fundamental task in most financial applications. A framework that can...
In recent years, time series motif discovery has emerged as perhaps the most important primitive for...
Time series classification is an important aspect of time series mining. Recently, time series class...
In the first step, a multivariate time series of the kinematics and marker trajectories (left plot, ...
The increasing interest in time series data mining in the last decade has resulted in the introducti...
In the field of Big Data, multivariate time series collect high dimensional data of observed subject...
Abstract: Ultra-scale data analysis has created many new challenges for visualization. For example, ...
Many disciplines are faced with the problem of handling time-series data. This study introduces an i...
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