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).

该项目为大数据研究和教育获得了一个集成的高性能计算仪器，旨在填补EPSCoR州少数民族服务机构大数据分析的差距。执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加了资产。该工具还将成为目前参与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和促进我们与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，解决对大数据分析研究生培训至关重要的国家优先事项问题：1。数据桥系统开发与部署; 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社会计量系统的长尾科学数据收集，以开发科学数据集的DataBridge索引机制的少数人之一。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，数据桥将为挖掘信息和上下文提供一套丰富的工具。对大型网络中社区检测的研究有望为大型社会和信息网络的社区检测带来新的见解，并为理解这样的社区和利用它们的算法提供新的理论模型。针对大数据分析的深度学习库的研究制定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。