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

基本信息

  • 批准号:
    1835996
  • 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:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-05-15 至 2019-04-30
  • 项目状态:
    已结题

项目摘要

This award will support 14 U.S.-based graduate students to attend and participate in the 44th International Conference on Very Large Databases (VLDB 2018) to be held in Rio De Janeiro, Brazil from August 27-31, 2018 (http://vldb2018.lncc.br/). The International Conference on Very Large Databases (VLDB) is a premier international annual technical event that brings together technical research papers, tutorials, and workshops centered on various aspects of database research and practice. VLDB 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 analyses at scale. VLDB has a goal to enable the next generation of students and researchers to identify scientific foundations for building large-scale database management systems that can work ever more effectively. 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 conference will contribute directly to training the next generation of scientists who are both consumers and developers of technology in database management system design and implementation. Efforts will be made to engage a diverse body of students in order to broaden the participation of researchers from underrepresented groups. The student support will have direct impact in creating a highly-qualified workforce who can take on the emerging data science challenges of the future. The rising use of cloud computing, the ability for users to create very large datasets, and the emerging field of data science have placed database research at the forefront of Computer Science. Database research is an integral component of a new approach to data-driven science and technology that stands to revolutionize almost all aspects of society by leading to new scientific discoveries and game-changing improvements to engineered systems that we use in our daily lives. Database research profoundly influences domains that include health sciences, the emerging field of IoT, service-oriented computing, real-time business analytics, and social computing. The VLDB 2018 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.
该奖项将支持14个美国-基础研究生参加并参加第44届超大型数据库国际会议(VLDB 2018)将于2018年8月27日至31日在巴西里约热内卢举行(http://vldb2018.lncc.br/)。超大型数据库国际会议(VLDB)是一个重要的国际年度技术活动,汇集了技术研究论文,教程和研讨会,集中在数据库研究和实践的各个方面。VLDB系列为来自学术界、工业界和政府机构的研究人员和从业人员提供了一个绝佳的机会,分享他们在大规模数据管理和分析各个方面的研究和经验。VLDB的目标是使下一代学生和研究人员能够确定构建可以更有效地工作的大型数据库管理系统的科学基础。会议的目的是多方面的:(1)提供一个国际论坛,分享与调查下一代数据库研究的主要挑战有关的研究成果;(2)通过小组讨论、海报、教程、学生学者圆桌会议等,激发对数据库领域研究的互动讨论;和(3)通过许多会议和研讨会的演讲,互动海报会议,小组和分组会议来激励和吸引未来几代研究人员。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技术的消费者和开发者。将努力让各种学生参与,以扩大代表性不足群体的研究人员的参与。学生的支持将直接影响到创造一支高素质的劳动力队伍,他们可以应对未来新兴的数据科学挑战。云计算的日益普及、用户创建超大型数据集的能力以及新兴的数据科学领域,使数据库研究成为计算机科学的前沿。数据库研究是数据驱动科学和技术新方法的一个组成部分,通过带来新的科学发现和对我们日常生活中使用的工程系统的改变游戏规则的改进,它将彻底改变社会的几乎所有方面。数据库研究深刻地影响着包括健康科学、物联网新兴领域、面向服务的计算、实时业务分析和社交计算在内的领域。VLDB 2018会议记录将在VLDB捐赠会议记录(http://www.vldb.org/pvldb/)上广泛获取。该奖项反映了NSF的法定使命,并被认为值得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来支持。

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
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 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
  • 批准号:
    2025108
  • 财政年份:
    2020
  • 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
II-EN: UCI Irvine Sensorium
II-EN:UCI 欧文传感器中心
  • 批准号:
    1059436
  • 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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