MRI: Acquisition of Equipment to Establish Big Data Analytics Infrastructure for Research and Education

MRI：采购设备以建立用于研究和教育的大数据分析基础设施

• 批准号: 1625677
• 负责人: Kazem Taghva
• 金额: $ 19.88万
• 依托单位: University of Nevada Las Vegas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1625677&HistoricalAwards=false
• 关键词: MRI; Acquisition; Equipment; Establish; Big

This project, acquiring an integrated high performance computing instrument for big data research and education, aims to fill the gap for big data analytics at a minority-serving institution in an EPSCoR state. The ability to perform network big data research and education adds assets to various basic research activities within the institution. The instrument will also become a critical asset for research groups currently involved in big data analysis and management. It strengthens educational training activities by enabling innovative cross disciplinary courses and promoting our education outreach activity with K-12 teachers and students. The instrumentation would initially support the following projects addressing issues of national priority critical for training graduate students in big data analytics: 1. Data-Bridge system development and deployment; 2. Community detection framework in large networks; and 3. Deep learning framework for big data analytics. These investigators are among the first few to systematically study sociometric systems for long tail science data collection to develop DataBridge indexing mechanism for scientific datasets. As scientific datasets by themselves provide very sparse information content for searching and discovery, the DataBridge will provide a rich set of tools for mining information and context. The research on community detection in large networks is expected to lead to new insights into community detection of large social and information networks, and new theoretical models for understanding such a community and algorithms to harness them. The research on deep learning library for big data analytics lays out a basic research program for tracking one of the fundamental challenges of developing the Actionable Intelligence Discovery and Exploitation (AIDE).

该项目购买了用于大数据研究和教育的集成高性能计算仪器，旨在填补 EPSCoR 州一家少数族裔服务机构在大数据分析方面的空白。进行网络大数据研究和教育的能力为机构内的各种基础研究活动增添了资产。该仪器也将成为目前从事大数据分析和管理的研究小组的重要资产。它通过启用创新的跨学科课程并促进我们与 K-12 教师和学生的教育外展活动来加强教育培训活动。该仪器最初将支持以下项目，解决对培养大数据分析研究生至关重要的国家优先问题： 1. 数据桥系统开发和部署； 2.大型网络中的社区检测框架； 3.大数据分析的深度学习框架。这些研究人员是最早系统地研究用于长尾科学数据收集的社会计量系统的少数研究人员之一，以开发科学数据集的 DataBridge 索引机制。由于科学数据集本身为搜索和发现提供了非常稀疏的信息内容，因此 DataBridge 将提供一套丰富的工具来挖掘信息和上下文。大型网络中社区检测的研究预计将为大型社交和信息网络的社区检测带来新的见解，以及理解此类社区的新理论模型和利用它们的算法。针对大数据分析的深度学习库的研究提出了一个基础研究计划，用于跟踪开发可操作情报发现和利用（AIDE）的基本挑战之一。