Scientific Data Repository

A machine learning data repository with interactive visual analytic techniques. This project is the first to combine the notion of a data repository with real-time visual analytics for interactive data mining and exploratory analysis on the web. State-of-the-art statistical techniques are combined with real-time data visualization giving the ability for researchers to seamlessly find, explore, understand, and discover key insights in a large number of public donated data sets. This large comprehensive collection of data is useful for making significant research findings as well as benchmark data sets for a wide variety of applications and domains and includes relational, attributed, heterogeneous, streaming, spatial, and time series data as well as non-relational machine learning data. All data sets are easily downloaded into a standard consistent format. We also have built a multi-level interactive visual analytics engine that allows users to visualize and interactively explore the data in a free-flowing manner.

一项融合机器学习数据仓库与交互式可视化分析技术的数据资源库。该项目首次将数据仓库的概念与实时可视化分析相结合，以实现网络上的交互式数据挖掘和探索性分析。先进的统计技术与实时数据可视化技术相结合，赋予研究人员在大量公共捐赠数据集中无缝查找、探索、理解和发现关键洞见的可能性。这一庞大的综合数据集合对于开展重大研究工作和为广泛的应用领域和学科提供基准数据集具有重要意义，其中包含了关系型、属性型、异构型、流式、空间和时间序列数据，以及非关系型机器学习数据。所有数据集均可轻松下载至标准统一格式。此外，我们还构建了一个多级交互式可视化分析引擎，使用户能够以自由流畅的方式可视化并交互式地探索数据。