III-COR-Small: Managing Discoveries in Visual Analytics

III-COR-Small：管理可视化分析中的发现

• 批准号: 0812027
• 负责人: Matthew Ward
• 金额: $ 44.98万
• 依托单位: Worcester Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0812027&HistoricalAwards=false
• 关键词: III; COR; Small; Managing; Discoveries

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.

该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。 开发的发现管理技术提供了支持，不仅在视觉上和计算上，所有的分析阶段在隔离，但也为他们之间的紧密集成。 计算基础设施使分析师能够捕获、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（“金块”）。 用于金块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师能够随着时间的推移有效地验证，注释，分类，组织和清除金块。 假设、证据和金块的可视化表示有助于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师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。 项目的见解被注入到一个教育议程使用丰富的机制，从专题课程到本科和K-12项目为基础的学生活动。该项目的网址（http：//davis.wpi.edu/daxmdv）用于传播成果。