Travel: SDM 2024 Doctoral Forum Student Travel Grant
旅行:SDM 2024 博士论坛学生旅行补助金
基本信息
- 批准号:2400368
- 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:2024
- 资助国家:美国
- 起止时间:2024-03-15 至 2025-02-28
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
The 2024 SIAM International Conference on Data Mining (SDM 2024) is an event organized by the Society for Industrial and Applied Mathematics (SIAM) in collaboration with the American Statistical Association. Scheduled to take place from April 18 to April 20, 2024, in Houston, Texas, USA, this conference serves as a platform for researchers in the field of data mining to showcase their work through a peer-reviewed process. Additionally, it offers an excellent opportunity for newcomers, including graduate students, to delve into the latest research developments via invited speakers and tutorials. The conference also includes specialized workshops, and its proceedings are published both in archival form and on the SIAM website.The noteworthiness of the SDM 2024 Doctoral Forum lies in its role as a significant forum for young datamining researchers to share and discuss their research findings. Through rigorous peer review, the conference ensures the high quality of the presented work. It also fosters intellectual growth by offering attendees access to cutting-edge research through invited talks and tutorials. This exchange of ideas among experts and newcomers alike enhances the intellectual rigor of the field and contributes to its advancement. The inclusion of workshops and the publication of proceedings further solidify the intellectual merit of this conference by providing a comprehensive platform for the dissemination of knowledge and innovation in data mining. Twenty graduate students from US universities will be supported.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.
2024年SIAM国际数据挖掘会议(SDM 2024)是由工业和应用数学协会(SIAM)与美国统计协会合作组织的活动。该会议定于2024年4月18日至2024年4月20日在美国德克萨斯州休斯敦举行,该会议是数据挖掘领域研究人员的平台,以通过同行评审的过程展示他们的工作。此外,它为包括研究生在内的新移民提供了绝佳的机会,可以通过受邀的演讲者和教程深入研究最新的研究发展。该会议还包括专门的研讨会,其程序均以档案形式和SIAM网站上发布。SDM 2024博士论坛的值得注意性在于其作为年轻数据集成研究人员分享和讨论他们的研究结果的重要论坛的作用。通过严格的同伴审查,会议确保了提出的工作的高质量。它还通过邀请的演讲和教程使与会者访问尖端研究来促进智力增长。专家和新移民之间的思想交流都增强了该领域的智力严格性,并有助于其进步。包括研讨会和诉讼的发表,通过为传播数据挖掘中知识和创新的全面平台提供了全面的平台,从而进一步巩固了这次会议的知识优势。 该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响标准来评估值得支持的。
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)

暂无数据
数据更新时间:2024-06-01
Jundong Li其他文献
Online Collaborative Filtering with Implicit Feedback
具有隐式反馈的在线协同过滤
- DOI:10.1007/978-3-030-18579-4_2610.1007/978-3-030-18579-4_26
- 发表时间:20192019
- 期刊:
- 影响因子:0
- 作者:Jianwen Yin;Chenghao Liu;Jundong Li;Bingtian Dai;Yun;Min Wu;Jianling SunJianwen Yin;Chenghao Liu;Jundong Li;Bingtian Dai;Yun;Min Wu;Jianling Sun
- 通讯作者:Jianling SunJianling Sun
Anlotinib combined with pemetrexed as a further treatment of patients with platinum-resistant ovarian cancer: A single-arm, open-label, phase II study
- DOI:10.1016/s0090-8258(21)00758-710.1016/s0090-8258(21)00758-7
- 发表时间:2021-08-012021-08-01
- 期刊:
- 影响因子:
- 作者:Jueming Chen;Wei Wei;Lie Zheng;Han Li;Yanling Feng;Ting Wan;Jiaqi Qiu;Xingyu Jiang;Ying Xiong;Jundong Li;He Huang;Libing Song;Jihong Liu;Yanna ZhangJueming Chen;Wei Wei;Lie Zheng;Han Li;Yanling Feng;Ting Wan;Jiaqi Qiu;Xingyu Jiang;Ying Xiong;Jundong Li;He Huang;Libing Song;Jihong Liu;Yanna Zhang
- 通讯作者:Yanna ZhangYanna Zhang
LookCom: Learning Optimal Network for Community Detection
LookCom:学习用于社区检测的最佳网络
- DOI:10.1109/tkde.2020.298778410.1109/tkde.2020.2987784
- 发表时间:2022-022022-02
- 期刊:
- 影响因子:8.9
- 作者:Yixiang Dong;Minnan Luo;Jundong Li;Deng Cai;Qinghua ZhengYixiang Dong;Minnan Luo;Jundong Li;Deng Cai;Qinghua Zheng
- 通讯作者:Qinghua ZhengQinghua Zheng
Synthesis of β-prolinols via [3+2] cycloaddition and one-pot programmed reduction: Valuable building blocks for polyheterocycles
通过[3 2]环加成和一锅程序还原合成β-脯氨醇:有价值的多杂环构建模块
- DOI:10.1016/j.tetlet.2016.11.03510.1016/j.tetlet.2016.11.035
- 发表时间:2016-122016-12
- 期刊:
- 影响因子:0
- 作者:Jundong Li;Na Lin;Lei Yu;Y;ong ZhangJundong Li;Na Lin;Lei Yu;Y;ong Zhang
- 通讯作者:ong Zhangong Zhang
PyGDebias: A Python Library for Debiasing in Graph Learning
PyGDebias:用于图学习中去偏的 Python 库
- DOI:
- 发表时间:20242024
- 期刊:
- 影响因子:0
- 作者:Yushun Dong;Zhenyu Lei;Zaiyi Zheng;Song Wang;Jing Ma;Alex Jing Huang;Chen Chen;Jundong LiYushun Dong;Zhenyu Lei;Zaiyi Zheng;Song Wang;Jing Ma;Alex Jing Huang;Chen Chen;Jundong Li
- 通讯作者:Jundong LiJundong Li
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Jundong Li的其他基金
Collaborative Research: III: Small: Graph-Oriented Usable Interpretation
合作研究:III:小型:面向图形的可用解释
- 批准号:22237692223769
- 财政年份:2022
- 资助金额:$ 2.5万$ 2.5万
- 项目类别:Standard GrantStandard Grant
CAREER: Toward A Knowledge-Guided Framework for Personalized Decision Making
职业:走向个性化决策的知识引导框架
- 批准号:21442092144209
- 财政年份:2022
- 资助金额:$ 2.5万$ 2.5万
- 项目类别:Continuing GrantContinuing Grant
Collaborative Research: SAI-R: Dynamical Coupling of Physical and Social Infrastructures: Evaluating the Impacts of Social Capital on Access to Safe Well Water
合作研究:SAI-R:物理和社会基础设施的动态耦合:评估社会资本对获得安全井水的影响
- 批准号:22285342228534
- 财政年份:2022
- 资助金额:$ 2.5万$ 2.5万
- 项目类别:Standard GrantStandard Grant
III: Small: Collaborative Research: Demystifying Deep Learning on Graphs: From Basic Operations to Applications
III:小:协作研究:揭秘图深度学习:从基本操作到应用
- 批准号:20068442006844
- 财政年份:2020
- 资助金额:$ 2.5万$ 2.5万
- 项目类别:Standard GrantStandard Grant
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基于SDM和DSSAT模型的新疆棉花适生区分布迁移和产量变化预测研究
- 批准号:52169011
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- 资助金额:35 万元
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基于LUR和空间杜宾模型耦合的PM2.5浓度时空精细模拟研究
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基于智能计算和学习方法的SDM系统绿色化设计研究
- 批准号:61876143
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阴沟肠杆菌SDM中2,3-丁二醇手性形成及代谢调控机制研究
- 批准号:31400027
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- 项目类别:青年科学基金项目
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连接SDM和老年人活证记录的EOL护理实施研究
- 批准号:24K1409624K14096
- 财政年份:2024
- 资助金额:$ 2.5万$ 2.5万
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共同意思決定(SDM)において患者ー医療者を橋渡しする「文脈通訳者」の役割と効果
“情境口译员”在共享决策(SDM)中弥合患者和医疗专业人员之间的差距的作用和有效性
- 批准号:23K2782923K27829
- 财政年份:2024
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SG: Species Distribution Modeling on the A.I. frontier: Deep generative models for powerful, general and accessible SDM
SG:人工智能上的物种分布建模
- 批准号:23297012329701
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不眠症患者のスリープヘルス増進にむけた対話促進ウェブアプリSleep-SDMの開発・実装
开发和实施 Sleep-SDM,这是一款促进对话以改善失眠患者睡眠健康的网络应用程序
- 批准号:23K2789123K27891
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Travel: SDM 2023 Student Travel Grant
旅行:SDM 2023 学生旅行补助金
- 批准号:23254062325406
- 财政年份:2023
- 资助金额:$ 2.5万$ 2.5万
- 项目类别:Standard GrantStandard Grant