论文标题
可视化时间序列数据的通用方法
Generic Approach to Visualization of Time Series Data
论文作者
论文摘要
时间序列是根据时间戳订购的数据实例集合。股票价格，温度等是现实生活中时间序列数据的示例。时间序列数据用于预测销售，预测趋势。可视化是在二维图中或三维图中视觉表示数据或数据特征之间关系的过程。可视化时间序列数据是使用时间序列数据集的过程的重要组成部分。可视化数据不仅有助于建模过程，而且还可以用于识别引起这些趋势的趋势和特征。在这项工作中，我们使用现实生活中的时间序列数据集，并通过可视化分析目标特征与数据集的其他功能的关系。从已经进行的工作中，我们提出了一种有效的可视化方法，用于时间序列数据，这对于使用此类数据集的机器学习建模非常有用。
Time series is a collection of data instances that are ordered according to a time stamp. Stock prices, temperature, etc are examples of time series data in real life. Time series data are used for forecasting sales, predicting trends. Visualization is the process of visually representing data or the relationship between features of a data either in a two-dimensional plot or a three-dimensional plot. Visualizing the time series data constitutes an important part of the process for working with a time series dataset. Visualizing the data not only helps in the modelling process but it can also be used to identify trends and features that cause those trends. In this work, we take a real-life time series dataset and analyse how the target feature relates to other features of the dataset through visualization. From the work that has been carried out, we present an effective method of visualization for time series data which will be much useful for machine learning modelling with such datasets.
