论文标题
P6：在视觉分析中整合机器学习的声明语言
P6: A Declarative Language for Integrating Machine Learning in Visual Analytics
论文作者
论文摘要
我们提出了P6，这是一种通过支持和集成机器学习和交互式可视化方法来构建高性能视觉分析系统的声明性语言。随着基于机器学习和人工智能的数据分析方法继续前进，视觉分析解决方案可以利用这些方法更好地利用大型和复杂的数据。但是，将机器学习方法与交互式视觉分析相结合是具有挑战性的。现有的声明性编程库和可视化工具包缺乏对耦合机学习方法的支持。通过为视觉分析提供声明性语言，P6可以授权更多的开发人员创建可视化分析应用程序，以结合机器学习和可视化方法，以进行数据分析和解决问题。通过各种示例应用程序，我们演示了P6的功能，并展示了使用声明性规范来构建视觉分析系统的好处。我们还确定并讨论了声明性视觉分析的研究机会和挑战。
We present P6, a declarative language for building high performance visual analytics systems through its support for specifying and integrating machine learning and interactive visualization methods. As data analysis methods based on machine learning and artificial intelligence continue to advance, a visual analytics solution can leverage these methods for better exploiting large and complex data. However, integrating machine learning methods with interactive visual analysis is challenging. Existing declarative programming libraries and toolkits for visualization lack support for coupling machine learning methods. By providing a declarative language for visual analytics, P6 can empower more developers to create visual analytics applications that combine machine learning and visualization methods for data analysis and problem solving. Through a variety of example applications, we demonstrate P6's capabilities and show the benefits of using declarative specifications to build visual analytics systems. We also identify and discuss the research opportunities and challenges for declarative visual analytics.
