Ubiquitous Analytics

无处不在的分析

• 批准号: 1000228958-2012
• 负责人: Irani, Pourang
• 金额: $ 7.29万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=642668
• 关键词: Ubiquitous; Analytics

Data is growing relentlessly. As such, individuals and organizations are relying more so than ever on extracting meaning from large data repositories. Managing gigantic data flows, probing massive repositories and speedily extracting value is becoming a major opportunity leading to one of the fastest growing sectors in the software industry. The need to grapple with large data is further affected by the diversity of environments in which instant analytical processing is required, ranging from ad-hoc mobile settings to teams of analysts. The proposed research in Ubiquitous Analytics involves the development of software tools and technologies to assist in the data analytics process, 'anytime' and 'anywhere'. Objectives include a) developing novel interactive visual interfaces for sense-making on various platforms, b) facilitating collaborative analytics, and (c) introducing novel evaluation metrics that transcend the limitations of current methods for testing the efficacy of analytic tools. The research is poised to have a significant impact on our digital economy.

数据正在无情地增长。因此，个人和组织比以往任何时候都更加依赖于从大型数据存储库中提取意义。管理庞大的数据流，探索海量存储库并快速提取价值正在成为软件行业增长最快的行业之一的重大机遇。处理大数据的需求进一步受到需要即时分析处理的环境多样性的影响，从临时移动的设置到分析师团队。泛在分析的拟议研究涉及软件工具和技术的开发，以协助数据分析过程，“随时”和“随地”。目标包括：a）开发新的交互式视觉界面，用于在各种平台上进行感知，B）促进协作分析，以及（c）引入新的评估指标，超越当前测试分析工具功效的方法的局限性。这项研究将对我们的数字经济产生重大影响。