EAGER: Data Analytics over Location Based Services
EAGER: Data Analytics over Location Based Services
批准号:
1745925
负责人:
Gautam Das
金额:
$19.93万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2020-08-31
中文摘要
基于位置的服务非常受欢迎,数百万用户每天都在使用谷歌和必应地图等地图服务,以及集成到Twitter和Yelp等许多其他系统中的基于位置的功能。对这些服务的后端数据库进行数据分析可以揭示有趣的“全景”信息,例如兴趣点的地理分布和用户行为的地区差异。在这个项目中,我们展示了这种有趣的数据分析可以由用户通过可用的编程和查询接口限制对数据库的访问。该项目的研究成果将对国家高等教育系统和高科技产业产生影响。各种各样的公司、政府和安全机构中的知识工作者都需要通过基于位置的服务提出高级分析查询的能力。该项目的一部分正在被整合到教学中,这将潜在地吸引有动力的学生攻读博士学位。研究涉及开发一套算法和技术,以了解数据分析相对于基于位置的服务的机遇和挑战。考虑的各种数据分析和挖掘任务包括点和路径聚合估计以及受可用数据访问接口限制的基于位置的服务的双重挖掘。这项研究通过展示如何将经过理论验证的算法与现实世界基于位置的服务的特定应用细节相结合,使工程取得了根本性的进步。一个数据分析原型也在开发中,并将在几个现实世界中基于位置的服务上进行评估。
英文摘要
Location Based Services are extremely popular, with millions of users making daily use of mapping services such as Google and Bing maps, as well as location based features integrated into numerous other systems such as Twitter and Yelp. Data analytics over the backend databases of these services can reveal interesting "big picture" information, such as geographic distribution of points of interest and regional variation in user behavior. In this project we show that such interesting data analytics can be performed by users whose access to the databases is limited via the available programming and query interfaces. The research results of this project will impact the nation's higher education system and high-tech industries. The ability to pose high-level analytical queries over location based services is needed by knowledge workers in a wide variety of corporations, governments, and security agencies. Parts of this project are being integrated into teaching, which will potentially attract motivated students to pursue doctoral degrees.The research involves developing a suite of algorithms and techniques for understanding the opportunities and challenges of data analytics over location based services. The various data analytics and mining tasks considered include point and path aggregate estimation as well as dual mining over location based services limited by available data access interfaces. The research makes fundamental advancements to engineering by showing how to integrate theoretically-proven algorithms with application-specific details of real-world location based services. A data analytics prototype is also being developed and will be evaluated over several real-world location based services.
期刊论文(6)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
10.14778/3236187.3236199
发表时间:
2018-07
期刊:
Proc. VLDB Endow.
影响因子:
--
作者:
[Sona Hasani;Saravanan Thirumuruganathan;Abolfazl Asudeh;Nick Koudas;Gautam Das]
通讯作者:
Sona Hasani;Saravanan Thirumuruganathan;Abolfazl Asudeh;Nick Koudas;Gautam Das
DOI:
10.14778/3231751.3231752
发表时间:
2018-06
期刊:
Proc. VLDB Endow.
影响因子:
--
作者:
[Abolfazl Asudeh;Azade Nazi;Jees Augustine;Saravanan Thirumuruganathan;Nan Zhang;Gautam Das;D. Srivastava]
通讯作者:
Abolfazl Asudeh;Azade Nazi;Jees Augustine;Saravanan Thirumuruganathan;Nan Zhang;Gautam Das;D. Srivastava
DOI:
10.1145/3371316.3371327
发表时间:
2019-11
期刊:
SIGMOD Rec.
影响因子:
--
作者:
[Abolfazl Asudeh;Jees Augustine;Azade Nazi;Saravanan Thirumuruganathan;Nan Zhang;Gautam Das;D. Srivastava]
通讯作者:
Abolfazl Asudeh;Jees Augustine;Azade Nazi;Saravanan Thirumuruganathan;Nan Zhang;Gautam Das;D. Srivastava
DOI:
10.1145/3183713.3193561
发表时间:
2018-05
期刊:
Proceedings of the 2018 International Conference on Management of Data
影响因子:
--
作者:
[Yeshwanth D. Gunasekaran;Md. Farhadur Rahman;Sona Hasani;Nan Zhang;Gautam Das]
通讯作者:
Yeshwanth D. Gunasekaran;Md. Farhadur Rahman;Sona Hasani;Nan Zhang;Gautam Das
Orca-SR: A Real-Time Traffic Engineering Framework leveraging Similarity Joins
Orca-SR:利用相似性连接的实时流量工程框架
DOI:
--
发表时间:
2020
期刊:
Proceedings of the VLDB Endowment
影响因子:
2.5
作者:
[Augustine, Jees, Shetiya, Suraj, Asudeh, Azadeh, Thirumuruganathan, Saravanan, Nazi, Azade, Zhang, Nan, Das, Gautam, Srivastava, Divesh]
通讯作者:
Srivastava, Divesh
共 6 条
III: Medium: Collaborative Research: Fairness in Web Database Applications
-
批准号:2107296
-
项目类别:Standard Grant
-
资助金额:$41.6万
-
财政年份:2021
-
负责人:Gautam Das
-
依托单位:
III: Small: Collaborative Research: An Optimization Framework for Designing Derived Attributes with Humans-in-the-loop
-
批准号:2008602
-
项目类别:Continuing Grant
-
资助金额:$30.96万
-
财政年份:2020
-
负责人:Gautam Das
-
依托单位:
III: Small: Collaborative Research: Suppressing Sensitive Aggregates over Hidden Web Databases, a Novel and Urgent Challenge
-
批准号:0916277
-
项目类别:Standard Grant
-
资助金额:$25.12万
-
财政年份:2009
-
负责人:Gautam Das
-
依托单位:
SGER: Data Analytics over Hidden Databases
-
批准号:0845644
-
项目类别:Standard Grant
-
资助金额:$0.0万
-
财政年份:2008
-
负责人:Gautam Das
-
依托单位:
RIA: Network and Polyhedral Approximations
-
批准号:9306822
-
项目类别:Standard Grant
-
资助金额:$6.28万
-
财政年份:1993
-
负责人:Gautam Das
-
依托单位:
国内基金
海外基金
登录
查看更多内容
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
-
批准号:--
-
项目类别:合作创新研究团队
-
资助金额:--
-
批准年份:2024
-
负责人:姚韬
-
依托单位:
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
-
批准号:--
-
项目类别:外国青年学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:江洋子
-
依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
-
批准号:--
-
项目类别:--
-
资助金额:40万元
-
批准年份:2020
-
负责人:Vikrant Gupta
-
依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
-
批准号:61373035
-
项目类别:面上项目
-
资助金额:77.0万元
-
批准年份:2013
-
负责人:冯志勇
-
依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data
-
批准号:31070748
-
项目类别:面上项目
-
资助金额:34.0万元
-
批准年份:2010
-
负责人:Christine Nardini
-
依托单位:
高维数据的函数型数据(functional data)分析方法
-
批准号:11001084
-
项目类别:青年科学基金项目
-
资助金额:16.0万元
-
批准年份:2010
-
负责人:周迎春
-
依托单位:
染色体复制负调控因子datA在细胞周期中的作用
-
批准号:31060015
-
项目类别:地区科学基金项目
-
资助金额:25.0万元
-
批准年份:2010
-
负责人:莫日根
-
依托单位:
Computational Methods for Analyzing Toponome Data
-
批准号:60601030
-
项目类别:青年科学基金项目
-
资助金额:17.0万元
-
批准年份:2006
-
负责人:Axel Mosig
-
依托单位: