BinX: Dynamic Exploration of Time Series Datasets Across Aggregation Levels

L. Berry, T. Munzner
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引用次数: 42

Abstract

Many fields of study produce time series datasets, and both the size and number of theses datasets are increasing rapidly due to the improvement of data accumulation methods such as small, cheap sensors and routine logging of events. Humans often fail to comprehend the structure of a long time series dataset because of the overwhelming amount of data and the range of different time scales at which there may be meaningful patterns. BinX is an interactive tool that provides dynamic visualization and manipulation of long time series datasets. The dataset is visualized through user controlled aggregation, augmented by various information visualization techniques.
跨聚合级别的时间序列数据集的动态探索
许多研究领域产生时间序列数据集,由于数据积累方法的改进,如小型、廉价的传感器和常规的事件记录,这些数据集的大小和数量都在迅速增加。人类经常无法理解长时间序列数据集的结构,因为数据量太大,而且不同时间尺度的范围可能存在有意义的模式。BinX是一个交互式工具,提供长时间序列数据集的动态可视化和操作。数据集通过用户控制的聚合实现可视化,并通过各种信息可视化技术进行增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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