III-COR-Small: Managing Discoveries in Visual Analytics

这个项目的目标是开发支持可视化分析过程的技术。从科学发现到国土安全领域的复杂分析过程包括假设生成、证据收集、证据组织和假设解决的循环。已开发的发现管理技术不仅在视觉上和计算上为孤立的所有分析阶段提供支持，而且还为它们之间的紧密集成提供支持。计算基础结构使分析人员能够捕获、可视化、管理、分析和交互式地探索可视化分析过程的模式和发现（“掘金”）。对掘金进行建模和管理的工具及其复杂的相互关系构成了基础设施的基础。金块生成的方法包括用户的显式识别和确认，基于用户日志分析的隐式捕获，以及使用统计和数据挖掘技术的自动发现。计算和交互式可视化方法使分析人员能够有效地验证、注释、分类、组织和清除随时间推移的掘金。假设、证据和掘金的可视化表示帮助分析师探索他们的数据、管理他们的发现并组织他们的推理过程。由此产生的技术使从生物医学发现到国土安全等不同领域的分析人员能够可视化地探索数据，形成假设，并在探索过程中迅速管理他们的发现。项目的见解通过丰富的机制注入到教育议程中，从专题课程到本科和K-12项目为基础的学生活动。项目网站（http://davis.wpi.edu/~xmdv）用于发布结果。

The goal of this project is to develop technology in support of the visual analytics process. The complex process of analysis in domains from scientific discovery to homeland security consists of cycles of hypothesis generation, evidence gathering, evidence organization, and hypothesis resolution. The developed discovery management technology provides support, both visually and computationally, not only for all analysis stages in isolation, but also for tight integration among them. The computational infrastructure enables analysts to capture, visualize, manage, analyze, and interactively explore patterns and discoveries ("nuggets") of the visual analytics process. Tools for the modeling and management of nuggets and their complex interrelationships form the foundation of the infrastructure. Methods for nugget generation include explicit identification and confirmation by user, implicit capture based on analysis of user logs, and automated discovery using statistical and data mining techniques.Computational and interactive visual methods enable analysts to efficiently validate, annotate, classify, organize, and purge nuggets over time. Visual representations of hypotheses, evidence, and nuggets help analysts explore their data, manage their discoveries, and organize their reasoning processes. The resulting technology enables analysts from diverse domains ranging from biomedical discovery to homeland security to visually explore data, to form hypotheses, and to swiftly manage their discoveries as the exploration process proceeds. Project insights are infused back into an educational agenda using a rich repertoire of mechanisms, ranging from special-topics courses to undergraduate and K-12 project-based student activities. The project Web site (http://davis.wpi.edu/~xmdv) is used for results dissemination.