4,232 Hits in 4.9 sec

Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data [chapter]

Santi Phithakkitnukoon, Teerayut Horanont, Giusy Di Lorenzo, Ryosuke Shibasaki, Carlo Ratti
2010 Lecture Notes in Computer Science  
Besides geographic space, in this paper, we characterize mobility in a profilebased space (activity-aware map) that describes most probable activity associated with a specific area of space.  ...  Based on a large mobile phone data of nearly one million records of the users in the central Metro-Boston area, we find a strong correlation in daily activity patterns within the group of people who share  ...  For each activity category of each cell, we make three search attempts using different keywords. The keywords used for each activity category are listed in Table 2.  ... 
doi:10.1007/978-3-642-14715-9_3 fatcat:c4lulomyzjfjvmnvmzimdanz6m

A Survey on Trajectory Data Management, Analytics, and Learning [article]

Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong
2020 arXiv   pre-print
and spatial-textual trajectory data, and trajectory clustering.  ...  In this survey, we comprehensively review recent research trends in trajectory data management, ranging from trajectory pre-processing, storage, common trajectory analytic tools, such as querying spatial-only  ...  Spatial-Textual Trajectory Search Spatial-textual trajectory search incorporates text and keywords to the data, and relevant trajectories have more than one dimension of similarity that must be considered  ... 
arXiv:2003.11547v2 fatcat:5gf5h5skqjbrhf67cflygggnky

A Natural-language-based Visual Query Approach of Uncertain Human Trajectories

Zhaosong Huang, Ye Zhao, Wei Chen, Shengjie Gao, Kejie Yu, Weixia Xu, Mingjie Tang, Minfeng Zhu, Mingliang Xu
2019 IEEE Transactions on Visualization and Computer Graphics  
It is built up on encoding massive, spatially uncertain trajectories by the semantic information of the POls and regions covered by them, and then storing the trajectory documents in text database with  ...  The visual interface facilitates query condition specification, situation-aware visualization, and semantic exploration of large trajectory data.  ...  Range queries refer to filtering the trajectories falling into a spatial region. The tree-based index [31] is one of the most popular indexing methods to support it. Mokbel and Chen et al.  ... 
doi:10.1109/tvcg.2019.2934671 pmid:31443013 fatcat:pa7womdqdrasnl6awvhoynuuhi

Representation Learning with Multi-level Attention for Activity Trajectory Similarity Computation

An Liu, Yifan Zhang, Xiangliang Zhang, Guanfeng Liu, Yanan Zhang, Zhixu Li, Lei Zhao, Qing Li, Xiaofang Zhou
2020 IEEE Transactions on Knowledge and Data Engineering  
In this paper, we propose to learn a representation for one activity trajectory by jointly considering the spatio-temporal characteristics and the activity semantics.  ...  The other is the discrepancy of individual activities. Previous effort alleviates the issue of uneven sampling rate via trajectory complements, which is limited to spatial-temporal information.  ...  [32] regard some words containing activity information in the activity trajectory as keywords, so as to perform trajectory analysis based on keyword search. Zheng et al.  ... 
doi:10.1109/tkde.2020.3010022 fatcat:smeufwgtkzclxc2pgksh374agq

Pairwise location-aware publish/subscribe for geo-textual data streams

Ying Zhong, Shunzhi Zhu, Yan Wang, Jianmin Li, Xinxin Zhang, Jedi S. Shang
2020 IEEE Access  
[10] provide comprehensive studies on general research problems regarding spatial keyword search.  ...  SPATIAL KEYWORD SEARCH Spatial keyword search is a fundamental research topic over the past decade. Mokbel et al. [23] , Magdy et al. [20] , and Chen et al.  ... 
doi:10.1109/access.2020.3038921 fatcat:2c4vmcsgyfdonmu5p7ror372ym

Recommendations in location-based social networks: a survey

Jie Bao, Yu Zheng, David Wilkie, Mohamed Mokbel
2015 Geoinformatica  
Finally, we discuss the available data-sets and the popular methods used to evaluate the performance of 2 Jie Bao et al. recommender systems.  ...  First, we categorize the recommender systems by the objective of the recommendation, which can include locations, users, activities, or social media.  ...  Several works in spatial keyword searching for web content show the effectiveness of this pairing, e.g., [17, 124, 10, 84] .  ... 
doi:10.1007/s10707-014-0220-8 fatcat:3ivmtrnvkfhshl72gd33h4aola

A Survey on Trajectory Data Mining: Techniques and Applications

Zhenni Feng, Yanmin Zhu
2016 IEEE Access  
In this paper, we survey various applications of trajectory data mining, e.g., path discovery, location prediction, movement behavior analysis, and so on.  ...  A trajectory is typically represented by a sequence of timestamped geographical locations. A wide spectrum of applications can benefit from the trajectory data mining.  ...  Approximate keyword search is a realistic extension of exact keyword search in cases of miss-spelling or fuzzy search conditions. Zheng et al.  ... 
doi:10.1109/access.2016.2553681 fatcat:bwz3c6oyfjahroihps7i3wo76q

A Bibliometric Analysis and Network Visualisation of Human Mobility Studies from 1990 to 2020: Emerging Trends and Future Research Directions

Siqin Wang, Mengxi Zhang, Tao Hu, Xiaokang Fu, Zhe Gao, Briana Halloran, Yan Liu
2021 Sustainability  
published, authors and their countries and afflictions, citations, topics, abstracts, keywords, and journals.  ...  Drawing on the selected publications retrieved from the Web of Science, we provide a bibliometric analysis and network visualisation using CiteSpace and VOSviewer on the number of publications and year  ...  We use double quotation marks to enclose these terms in the search to ensure the search results contain those terms either in the title, abstract, or keywords; this also excludes potential search biases  ... 
doi:10.3390/su13105372 fatcat:vqhgn24cqje45jbt6bnn74d3ru

Travel Route Recommendation System using User Keyword Search

2020 International journal of recent technology and engineering  
By combining the power of Data Analytics of data mining, Big Data and programming capabilities of Java, this project focuses on building a customer centric Keyword Aware Travel Route Framework."  ...  Henceforth it Personalized trip recommendation to user on the basis of their Keyword search Registration Login User Profile Enters Reviews of places travelled OR Search based on Keywords  ...  That information will be stored on database like MySQL."  Geo-Specific Keywords: Some tags are specific to a location, which represents its spatial nature.  ... 
doi:10.35940/ijrte.e7275.038620 fatcat:bi2cvyycz5g7jpc23i5hxkdrf4

Exploratory Spatiotemporal Language Analysis of Geo-Social Network Data for Identifying Movements of Refugees

Andreas Petutschnig, Clemens Rudolf Havas, Bernd Resch, Veronika Krieger, Cornelia Ferner
2020 GI_FORUM - Journal for Geographic Information Science  
Approaches based on user trajectories and attempts to identify refugees by the language they used showed little promise, whereas using spatiotemporal aggregation and hotspot analysis of keyword-based filtered  ...  We evaluate various methods to acquire this information that utilize semantic, spatial and temporal features to analyse geo-social network data.  ...  The use of keywords for the identification of refugee-relevant tweets also means that we are not restricting our search to tweets created by refugees themselves, but are analysing tweets by a broader range  ... 
doi:10.1553/giscience2020_01_s137 fatcat:g67rlw7orjb4bkany3tta36jzm

FlowSampler: Visual Analysis of Urban Flows in Geolocated Social Media Data [chapter]

Alvin Chua, Ernesto Marcheggiani, Loris Servillo, Andrew Vande Moere
2015 Lecture Notes in Computer Science  
Analysis of flows such as human movement can help spatial planners better understand territorial patterns in urban environments.  ...  We describe two use cases to demonstrate the functionality of our system and characterise how spatial planners utilise it to address analytical task.  ...  However, their work differs from the former in that they extract a chronologically ordered set of keywords to provide analysts with time stamped contextual information of activity on the ground.  ... 
doi:10.1007/978-3-319-15168-7_2 fatcat:jgsxrx43lrf6varyial5brswpm

Emerging Trends and New Developments in Disaster Research after the 2008 Wenchuan Earthquake

Cailin Wang, Jidong Wu, Xin He, Mengqi Ye, Wenhui Liu, Rumei Tang
2018 International Journal of Environmental Research and Public Health  
the spatial distribution of publications, bursts of keywords and categories, highly cited references, and interdisciplinary levels and then identify the emerging trends of disaster research over the past  ...  popular research topics than disaster emergency and recovery.  ...  Acknowledgments: The authors are grateful to the three anonymous reviewers for their very valuable comments on an earlier version of this manuscript.  ... 
doi:10.3390/ijerph16010029 pmid:30583598 pmcid:PMC6338994 fatcat:o2vlyi7lxrflzisc4tzoyg2i2m

Recommendation of Points of Interest from User Generated Data Collection

Karol Waga, Andrei Tabarcea, Pasi Fränti
2012 Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
In order to personalize the results we built user profile based on user's activity in the system. We study performance of the system within MOPSI.  ...  In this paper, we present a context aware personalized recommendation system on web and mobile, which recommends relevant location-based data from user collection and consisting of GPS routes and photos  ...  If service keywords can be found among the keywords searched nearby, then the service is promoted by giving extra points.  ... 
doi:10.4108/icst.collaboratecom.2012.250451 dblp:conf/colcom/WagaTF12 fatcat:mk47zsmvjvd6behggxpcmbb5ae

An Advanced Systematic Literature Review on Spatiotemporal Analyses of Twitter Data

Enrico Steiger, João Porto de Albuquerque, Alexander Zipf
2015 Transactions on GIS  
Cui et al. (2012) work on semantic topic detection for events by analyzing popular hashtags.  ...  Several models consider the spatial component of semantic distributions proposing Spatial Latent Dirichlet Allocation (Pan 2011) and Location aware topic modeling (Wang et al. 2007 ).  ... 
doi:10.1111/tgis.12132 fatcat:zfxu7rzev5fohl2ug42valw3ca

Maritime anomaly detection: A review

Maria Riveiro, Giuliana Pallotta, Michele Vespe
2018 Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery  
In order to provide an overview of the state-of-theart of research carried out on the analysis of maritime data for situation awareness, this paper presents a review of maritime anomaly detection.  ...  We search for works with the main keywords maritime anomaly detection, and the search was restricted to 1996-2017.  ...  An example of the maritime data clustering based on K-means can be found in ; recently Density-based spatial clustering of applications with noise (DBSCAN) methods have become very popular for their convenient  ... 
doi:10.1002/widm.1266 fatcat:slqied4ytfb5ddf3uajqzapuby
« Previous Showing results 1 — 15 out of 4,232 results