Prediction of Suspect Location Based on Spatiotemporal Semantics
暂无分享,去创建一个
Tao Hu | Xinyue Ye | Xinyan Zhu | Lian Duan | Xinyan Zhu | X. Ye | Lian Duan | T. Hu
[1] Cecilia Mascolo,et al. Mining User Mobility Features for Next Place Prediction in Location-Based Services , 2012, 2012 IEEE 12th International Conference on Data Mining.
[2] Sun Na. Design and implementation of multi-source data track analysis system based on PGIS , 2013 .
[3] Lin Liu,et al. Spatial crime analysis and modeling , 2012, Ann. GIS.
[4] Marco Helbich,et al. Evaluating the Accuracy and Effectiveness of Criminal Geographic Profiling Methods: The Case of Dandora, Kenya , 2015 .
[5] Anind K. Dey,et al. Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior , 2008, UbiComp.
[6] Albert-László Barabási,et al. Limits of Predictability in Human Mobility , 2010, Science.
[7] Henry A. Kautz,et al. Finding your friends and following them to where you are , 2012, WSDM '12.
[8] Huan Liu,et al. gSCorr: modeling geo-social correlations for new check-ins on location-based social networks , 2012, CIKM.
[9] Melissa Martineau,et al. Journey to murder: examining the correlates of criminal mobility in sexual homicide , 2016 .
[10] David V. Canter,et al. The environmental range of serial rapists , 1993 .
[11] Brent Snook,et al. The bounds of cognitive heuristic performance on the geographic profiling task , 2009 .
[12] Qunying Huang,et al. Integrating big social data, computing and modeling for spatial social science , 2016 .
[13] Xing Xie,et al. Inferring social ties between users with human location history , 2014, J. Ambient Intell. Humaniz. Comput..
[14] Hans-Peter Kriegel,et al. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise , 1996, KDD.
[15] D. Kim Rossmo,et al. Geographic Profiling , 2017, Encyclopedia of GIS.
[16] Hui Xiong,et al. Point-of-Interest Recommendation in Location Based Social Networks with Topic and Location Awareness , 2013, SDM.
[17] Chaoming Song,et al. Modelling the scaling properties of human mobility , 2010, 1010.0436.
[18] Richard Frank,et al. A Computational Model for Predicting the Location of Crime Attractors on a Road Network , 2012, 2012 European Intelligence and Security Informatics Conference.
[19] Jure Leskovec,et al. Friendship and mobility: user movement in location-based social networks , 2011, KDD.
[20] Michele Zito,et al. On the Complexity and Accuracy of Geographic Profiling Strategies , 2005 .
[21] William Smith,et al. Determining How Journeys-to-Crime Vary: Measuring Inter- and Intra-Offender Crime Trip Distributions , 2009 .
[22] Eric Horvitz,et al. Some help on the way: opportunistic routing under uncertainty , 2012, UbiComp.
[23] Michael Leitner,et al. Incorporating Land Cover within Bayesian Journey-to-crime Estimation Models , 2012 .
[24] Xinyue Ye,et al. Patterns of Near-Repeat Gun Assaults in Houston , 2012 .
[25] Fabio Crestani,et al. A Generative Model of Offenders' Spatial Behaviour , 2011, Int. J. Uncertain. Fuzziness Knowl. Based Syst..
[26] Kyumin Lee,et al. Exploring Millions of Footprints in Location Sharing Services , 2011, ICWSM.
[27] Vibhav Gogate,et al. Modeling Transportation Routines using Hybrid Dynamic Mixed Networks , 2005, UAI.
[28] Laura Hammond,et al. Decay functions and criminal spatial processes: geographical offender profiling of volume crime , 2011 .
[29] George O. Mohler,et al. Geographic Profiling from Kinetic Models of Criminal Behavior , 2012, SIAM J. Appl. Math..
[30] Eric Horvitz,et al. Predestination: Where Do You Want to Go Today? , 2007, Computer.
[31] Nicholas Jing Yuan,et al. Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data , 2015, KDD.
[32] Hui Xiong,et al. Discovering Urban Functional Zones Using Latent Activity Trajectories , 2015, IEEE Transactions on Knowledge and Data Engineering.
[33] Xing Xie,et al. Destination prediction by sub-trajectory synthesis and privacy protection against such prediction , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).
[34] Dawei Song,et al. Prediction of Series Criminals: An Approach Based on Modeling , 2010, 2010 International Conference on Computational and Information Sciences.
[35] Mao Ye,et al. Exploiting geographical influence for collaborative point-of-interest recommendation , 2011, SIGIR.
[36] Stijn Ruiter,et al. When to Refrain from Using Likelihood Surface Methods for Geographic Offender Profiling: An Ex Ante Test of Assumptions , 2011 .
[37] Chin-Tser Huang,et al. Poster Abstract: Smart Urban Surveillance Using Fog Computing , 2016, 2016 IEEE/ACM Symposium on Edge Computing (SEC).
[38] Uwe Glässer,et al. Personalized Crime Location Prediction , 2016 .
[39] David V. Canter,et al. The Efficacy of Ideographic Models for Geographical Offender Profiling , 2013 .
[40] Derek J. Paulsen. Human versus machine: a comparison of the accuracy of geographic profiling methods , 2006 .
[41] Eric Sun,et al. Location3: How Users Share and Respond to Location-Based Data on Social , 2011, ICWSM.
[42] Laura Hammond. Geographical profiling in a novel context: prioritising the search for New Zealand sex offfenders , 2014 .
[43] Lorenzo P. Luini,et al. Spatial cognition and crime: the study of mental models of spatial relations in crime analysis , 2012, Cognitive Processing.
[44] Enhong Chen,et al. CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction , 2015 .
[45] Michael R. Lyu,et al. Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks , 2012, AAAI.
[46] Richard Block,et al. Robberies in Chicago: A Block-Level Analysis of the Influence of Crime Generators, Crime Attractors, and Offender Anchor Points , 2011 .
[47] Xiaoli Liu,et al. The Research of Tree Topology Model for Growth of Natural Selection and Application in Geographical Profile for Criminal , 2010, ICICA.
[48] Jinde Cao,et al. Weighted-traffic-network–based geographic profiling for serial crime location prediction , 2011 .
[49] Huan Liu,et al. Exploring Social-Historical Ties on Location-Based Social Networks , 2012, ICWSM.
[50] Husain Aljazzar,et al. K⁎: A heuristic search algorithm for finding the k shortest paths , 2011, Artif. Intell..
[51] David V. Canter,et al. A comparison of the efficacy of different decay functions in geographical profiling for a sample of US serial killers , 2006 .
[52] Xing Xie,et al. GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation , 2014, KDD.
[53] Chunyan Miao,et al. Exploiting Geographical Neighborhood Characteristics for Location Recommendation , 2014, CIKM.
[54] Narushige Shiode,et al. Space-time characteristics of micro-scale crime occurrences: an application of a network-based space-time search window technique for crime incidents in Chicago , 2015, Int. J. Geogr. Inf. Sci..
[55] Xing Xie,et al. Finding similar users using category-based location history , 2010, GIS '10.
[56] Ned Levine,et al. Introduction to the special issue on Bayesian journey‐to‐crime modelling , 2009 .