Student Support for the 46th International Conference on Very Large Databases (VLDB 2020)
第 46 届超大型数据库国际会议 (VLDB 2020) 的学生支持
基本信息
- 批准号:2025108
- 负责人:
- 金额:$ 2.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-06-01 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The provided support will enable about 15 US-based students to attend and participate in the 46th International Conference on Very Large Databases (VLDB 2020)to be held in Tokyo Aug. 31st to Sept. 4th, 2020 (https://vldb2020.org/). The VLDB conferences are a premier international technical event centered on various aspects of database research and practice. The VLDB conference provides a forum that promotes students and researchers to identify scientific foundations for building large-scale database management systems that can work ever more effectively. Efforts will be made to broaden the participation of underrepresented students and researchers. The conference will thus contribute directly to training the next generation of scientists who are both consumers and developers of technology in database management system design and implementation. The involvement of US-based students will have a direct impact in creating a highly-qualified workforce who can take on the emerging data science challenges of the future.Database research profoundly influences domains that include health sciences, the emerging field of Internet of Things (IoT), service-oriented computing, real-time business analytics, and social computing. The VLDB conference series provides researchers and practitioners from academia, industry and government agencies with an excellent opportunity to share their research and experiences on all aspects of data management and analysis at scale. The aims of the conference are multi-fold: (1) to provide an international forum for sharing research results related to the investigation of major challenges in next-generation database research; (2) to stimulate interactive discussions on research in the database area through panels, posters, tutorials, student scholar roundtables, etc.; and (3) to motivate and engage future generations of researchers via the many conference and workshop presentations, interactive poster sessions, and panel and breakout sessions. The VLDB 2020 Proceedings are will be broadly accessible at The Proceedings of the VLDB Endowment (http://www.vldb.org/pvldb/).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
提供的支持将使约15名美国学生参加并参加将于2020年8月31日至9月4日在东京举行的第46届超大型数据库国际会议(VLDB 2020) (https://vldb2020.org/)。VLDB会议是一个以数据库研究和实践的各个方面为中心的重要国际技术活动。VLDB会议提供了一个论坛,促进学生和研究人员确定构建能够更有效地工作的大规模数据库管理系统的科学基础。将努力扩大代表性不足的学生和研究人员的参与。因此,会议将直接有助于培训下一代科学家,他们既是数据库管理系统设计和实施方面技术的消费者,也是技术的开发人员。美国学生的参与将对培养高素质的劳动力产生直接影响,这些劳动力能够应对未来出现的数据科学挑战。数据库研究深刻地影响着健康科学、物联网(IoT)新兴领域、面向服务的计算、实时业务分析和社会计算等领域。VLDB系列会议为来自学术界、工业界和政府机构的研究人员和实践者提供了一个绝佳的机会,分享他们在数据管理和分析的各个方面的研究和经验。会议的目的是多方面的:(1)提供一个国际论坛,分享与下一代数据库研究主要挑战调查相关的研究成果;(2)通过专题讨论、海报、辅导课、学生学者圆桌会议等形式,促进对数据库领域研究的互动讨论;(3)通过许多会议和研讨会演讲、互动海报会议、小组讨论和分组会议,激励和吸引未来几代研究人员。VLDB 2020会议记录将在VLDB捐赠基金会议记录(http://www.vldb.org/pvldb/).This)上广泛访问,该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Sharad Mehrotra其他文献
Obscure: Information-Theoretically Secure, Oblivious, and Verifiable Aggregation Queries
晦涩难懂:信息理论上安全、不经意且可验证的聚合查询
- DOI:
10.1145/3374664.3379533 - 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Peeyush Gupta;Yin Li;Sharad Mehrotra;Nisha Panwar;Shantanu Sharma - 通讯作者:
Shantanu Sharma
Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases
- DOI:
10.1007/pl00011669 - 发表时间:
2001-08-01 - 期刊:
- 影响因子:3.100
- 作者:
Eamonn Keogh;Kaushik Chakrabarti;Michael Pazzani;Sharad Mehrotra - 通讯作者:
Sharad Mehrotra
Sharad Mehrotra的其他文献
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{{ truncateString('Sharad Mehrotra', 18)}}的其他基金
Travel: Request for Student Travel Support for the 48th International Conference on Very Large Databases 2022
旅行:请求 2022 年第 48 届超大型数据库国际会议的学生旅行支持
- 批准号:
2230342 - 财政年份:2022
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
RAPID: An Organizational Scale Approach to Privacy-Enabled Contact Tracing in COVID-19
RAPID:在 COVID-19 中启用隐私的组织规模接触者追踪方法
- 批准号:
2032525 - 财政年份:2020
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
III: Small: EnrichDB - Supporting Enrichment in Database Systems
III:小:EnrichDB - 支持数据库系统的丰富
- 批准号:
2008993 - 财政年份:2020
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
Student Support for the 44th International Conference on Very Large Databases (VLDB 2018)
第 44 届超大型数据库国际会议 (VLDB 2018) 的学生支持
- 批准号:
1835996 - 财政年份:2018
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CPS: Synergy: Collaborative Research: Extracting Time-Critical Situational Awareness from Resource Constrained Networks
CPS:协同:协作研究:从资源受限的网络中提取时间关键的态势感知
- 批准号:
1545071 - 财政年份:2015
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
III: Small: Linking and Resolving Entities in Big Data
III:小:大数据中实体的链接和解析
- 批准号:
1527536 - 财政年份:2015
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
CSR: Large: Collaborative Research: Enabling Privacy-Utility Trade-Offs in Pervasive Computing Systems
CSR:大型:协作研究:在普适计算系统中实现隐私与效用的权衡
- 批准号:
1212943 - 财政年份:2012
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
TC: Small: Risk Aware Query Processing in Mixed Security Database Environments
TC:小型:混合安全数据库环境中的风险感知查询处理
- 批准号:
1118127 - 财政年份:2011
- 资助金额:
$ 2.5万 - 项目类别:
Standard Grant
III: Small: Query and Goal Driven Entity Resolution Framework
III:小型:查询和目标驱动的实体解析框架
- 批准号:
1118114 - 财政年份:2011
- 资助金额:
$ 2.5万 - 项目类别:
Continuing Grant
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