Smart City Mobility Application—Gradient Boosting Trees for Mobility Prediction and Analysis Based on Crowdsourced Data
暂无分享,去创建一个
[1] J. Friedman. Special Invited Paper-Additive logistic regression: A statistical view of boosting , 2000 .
[2] J. Friedman,et al. Classification and Regression Trees (Wadsworth Statistics/Probability) , 1984 .
[3] O. Järv,et al. Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records , 2014 .
[4] Martin Raubal,et al. Correlating mobile phone usage and travel behavior - A case study of Harbin, China , 2012, Comput. Environ. Urban Syst..
[5] Theresa A. Pardo,et al. Conceptualizing smart city with dimensions of technology, people, and institutions , 2011, dg.o '11.
[6] Carlo Ratti,et al. Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome , 2011, IEEE Transactions on Intelligent Transportation Systems.
[7] David Mease,et al. Boosted Classification Trees and Class Probability/Quantile Estimation , 2007, J. Mach. Learn. Res..
[8] Stphane Tuffry,et al. Data Mining and Statistics for Decision Making , 2011 .
[9] Ivan Marsá-Maestre,et al. Mobile Agents for Service Personalization in Smart Environments , 2008, J. Networks.
[10] Yu Liu,et al. Pervasive location acquisition technologies: Opportunities and challenges for geospatial studies , 2012, Comput. Environ. Urban Syst..
[11] Lida Xu,et al. The internet of things: a survey , 2014, Information Systems Frontiers.
[12] Licia Capra,et al. Personalizing Mobile Travel Information Services , 2012 .
[13] Rein Ahas,et al. Application of mobile phone location data in mapping of commuting patterns and functional regionalization: a pilot study of Estonia , 2013 .
[14] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[15] Davy Janssens,et al. Building a validation measure for activity-based transportation models based on mobile phone data , 2014, Expert Syst. Appl..
[16] Pu Wang,et al. Development of origin–destination matrices using mobile phone call data , 2014 .
[17] Lior Rokach,et al. Proactive Data Mining with Decision Trees , 2014, SpringerBriefs in Electrical and Computer Engineering.
[18] Carlo Ratti,et al. City out of chaos: Social patterns and organization in urban systems , 2006 .
[19] Licia Capra,et al. Pervasive and Mobile Computing ( ) – Pervasive and Mobile Computing Individuals among Commuters: Building Personalised Transport Information Services from Fare Collection Systems , 2022 .
[20] Emmanouil Tranos,et al. Smart networked cities? , 2012 .
[21] B. Roe,et al. Boosted decision trees as an alternative to artificial neural networks for particle identification , 2004, physics/0408124.
[22] Mariacristina Roscia,et al. Definition methodology for the smart cities model , 2012 .
[23] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[24] Anna Corinna Cagliano,et al. Current trends in Smart City initiatives: some stylised facts , 2014 .