LOCATION-AWARE

作品数：18被引量：17H指数：3
导出分析报告
相关领域：自动化与计算机技术更多>>
相关作者：马林兵更多>>
相关机构：中山大学更多>>
相关期刊：《The Journal of China Universities of Posts and Telecommunications》《International Journal of Digital Earth》《Journal of Donghua University(English Edition)》《ZTE Communications》更多>>
相关基金：国家自然科学基金国家高技术研究发展计划高等学校学科创新引智计划国家教育部博士点基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
From Social Media to Ballot Box:Leveraging Location-Aware Sentiment Analysis for Election Predictions
《Computers, Materials & Continua》2023年第12期3037-3055,共19页Asif Khan Nada Boudjellal Huaping Zhang Arshad Ahmad Maqbool Khan 
funded by the Beijing Municipal Natural Science Foundation(Grant No.4212026);the Foundation Enhancement Program(Grant No.2021-JCJQ-JJ-0059).
Predicting election outcomes is a crucial undertaking,and various methods are employed for this purpose,such as traditional opinion polling,and social media analysis.However,traditional polling approaches often strugg...
关键词：Sentiment analysis big data machine learning election predictions social media analysis 
An IoT-Aware System for Managing Patients’ Waiting Time Using Bluetooth Low-Energy Technology
《Computer Systems Science & Engineering》2022年第1期1-16,共16页Reham Alabduljabbar 
The author extends her appreciation to the Deanship of Scientific Research at King Saud University for funding this work through the Undergraduate Research Support Program,Project no.(URSP-3-18-89).
It is a common observation that whenever patients arrives at the front desk of a hospital,outpatient clinic,or other health-associated centers,they have to first queue up in a line and wait to fill in their registrati...
关键词：Internetofthings(IoT) LOCATION-AWARE Bluetoothlowenergy BEACON 
Location-Aware Personalized Traveler Recommender System(LAPTA)Using Collaborative Filtering KNN
《Computers, Materials & Continua》2021年第11期1553-1570,共18页Mohanad Al-Ghobari Amgad Muneer Suliman Mohamed Fati 
The authors would like to acknowledge the support of Prince Sultan University for paying the Article Processing Charges(APC)of this publication.
Many tourists who travel to explore different cultures and cities worldwide aim to find the best tourist sites,accommodation,and food according to their interests.This objective makes it harder for tourists to decide ...
关键词：LAPTA recommender system KNN collaborative filtering users’preference mobile application location awareness 
Quantitative estimates of collective geo-tagged human activities in response to typhoon Hato using location-aware big data被引量：1
《International Journal of Digital Earth》2020年第9期1072-1092,共21页Zhang Liu Yunyan Du Jiawei Yi Fuyuan Liang Ting Ma Tao Pei 
the National Key R&D Program of China(grant number 2017YFC1503003);the National Key Research and Development Program(grant number 2017YFB0503605);the National Mountain Flood Disaster Investigation Project(SHZH-IWHR-57).
Location-aware big data from social media have been widely used to quantitatively characterize natural disasters and disaster-induced losses.It is not clear how human activities collectively respond to a disaster.In t...
关键词：Human response TYPHOON natural disaster locationaware data rapid disaster assessment 
A location-aware GIServices quality prediction model via collaborative filtering
《International Journal of Digital Earth》2018年第9期897-912,共16页Qingxi Peng Lan You Na Dong 
National Natural Science Foundation of China[grant number 41401464];Open Foundation of LIESMARS[grant number 15I02];Natural Science Foundation of Hubei Province[grant number 2016CFC769].
The quality of GIServices(QoGIS)is an important consideration for services sharing and interoperation.However,QoGIS is a complex concept and difficult to be evaluated reasonably.Most of the current studies have focuse...
关键词：LOCATION-AWARE QoGIS quality prediction GIServices collaborative filtering 
APRS: a privacy-preserving location-aware recommender system based on differentially private histogram被引量：1
《Science China(Information Sciences)》2017年第11期267-269,共3页Sheng GAO Xindi MA Jianming ZHU Jianfeng MA 
supported by National Natural Science Foundation of China (Grant Nos. 61602537, 61272398, U1509214, U1405255);Beijing Municipal Philosophy and Social Science Foundation (Grant No. 16XCC023);National High Technology Research and Development Program of China (863 Program) (Grant No. 2015AA016007)
Dear editor, Recently, a new paradigm of location-aware recommender system （LARS） has become increasingly popular. Compared with traditional recommendation systems such as collaborative filtering and content-based r...
关键词：a privacy-preserving location-aware recommender system based on differentially private histogram Si 
APPLET:a privacy-preserving framework for location-aware recommender system被引量：3
《Science China(Information Sciences)》2017年第9期1-16,共16页Xindi MA Hui LI Jianfeng MA Qi JIANG Sheng GAO Ning XI Di LU 
supported by National Natural Science Foundation of China(Grant Nos.61202179,U1405255,61502368,U1509214,U1135002);National High Technology Research and Development Program(863 Program)(Grant No.2015AA016007);Shaanxi Provincial Natural Science Foundation(Grant No.2015JQ6227);China 111 Project(Grant No.B16037);Fundamental Research Funds for the Central Universities(Grant Nos.JB150308,JB150309)
Location-aware recommender systems that use location-based ratings to produce recommendations have recently experienced a rapid development and draw significant attention from the research community. However, current ...
关键词：recommender system location-based service homomorphic encryption privacy-preserving frame-work collaborative filtering 
Efficient Location-Aware Data Placement for Data-Intensive Applications in Geo-distributed Scientific Data Centers被引量：3
《Tsinghua Science and Technology》2016年第5期471-481,共11页Jinghui Zhang Jian Chen Junzhou Luo Aibo Song 
supported by the National Natural Science Foundation of China (Nos. 61320106007, 61572129, 61502097, and 61370207);the National High-Tech Research and Development (863) Program of China (No. 2013AA013503);International S&T Cooperation Program of China (No. 2015DFA10490);Jiangsu research prospective joint research project (No. BY2013073-01);Jiangsu Provincial Key Laboratory of Network and Information Security (No. BM2003201);Key Laboratory of Computer Network and Information Integration of Ministry of Education of China (No. 93K-9);supported by Collaborative Innovation Center of Novel Software Technology and Industrialization and Collaborative Innovation Center of Wireless Communications Technology
Recent developments in cloud computing and big data have spurred the emergence of data-intensive applications for which massive scientific datasets are stored in globally distributed scientific data centers that have ...
关键词：data placement geo-distributed data center Lagrangian relaxation 
Providing Location-Aware Location Privacy Protection for Mobile Location-Based Services被引量：6
《Tsinghua Science and Technology》2016年第3期243-259,共17页Yu Wang Dingbang Xu Fan Li 
supported by the National Natural Science Foundation of China (Nos.61370192,61432015,61428203,and 61572347);the US National Science Foundation (Nos.CNS-1319915 and CNS-1343355)
Location privacy has been a serious concern for mobile users who use location-based services provided by third-party providers via mobile networks. Recently, there have been tremendous efforts on developing new anonym...
关键词：location privacy K-ANONYMITY cloaking algorithm location-based service mobile networks 
A User Proprietary Obfuscate System for Positions Sharing in Location-Aware Social Networks
《Journal of Computer and Communications》2015年第5期7-20,共14页Wei Cherng Cheng Masayoshi Aritsugi 
A user’s trajectory can be maliciously monitored by adversaries when they share the positions in location-aware social networking applications which require users to update their own locations continuously. An advers...
关键词：Location PRIVACY Obfuscate Region Maps LOCATION-AWARE POSITIONS SHARING 
全选清除导出
共2页<12>
检索报告 对象比较 聚类工具 使用帮助 返回顶部