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Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis
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Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis (2018)Spatio-Temporal Analysis and Prediction o…Automatic time series forecasting: the forecast package for R (2017)Automatic time series forecas…DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns (2016)DeepSpace: An Online Deep Lea…Context-aware real-time population estimation for metropolis (2016)Context-aware real-time popul…Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2015)Understanding Mobile Traffic …Regularity and Conformity (2015)Regularity and ConformityAnalyzing and modeling spatio-temporal dependence of cellular traffic at city scale (2015)Analyzing and modeling spatio…Exploring human mobility with multi-source data at extremely large metropolitan scales (2014)Exploring human mobility with…A study of age and gender seen through mobile phone usage patterns in Mexico (2014)A study of age and gender see…Location patterns of mobile users: A large-scale tudy (2013)Location patterns of mobile u…Exploiting Foursquare and Cellular Data to Infer User Activity in Urban Environments (2013)Exploiting Foursquare and Cel…Understanding individual human mobility patterns (2008)Understanding individual huma…Automatic Time Series Forecasting: The forecast Package for R (2008)Automatic Time Series Forecas…Beyond Moran'sI: Testing for Spatial Dependence Based on the Spatial Autoregressive Model (2007)Beyond Moran'sI: Testing for …Power and Centrality: A Family of Measures (1987)Power and Centrality: A Famil…Nonseparable, Stationary Covariance Functions for Space–Time Data (2002)Statistics for Spatio-Temporal Data (2011)Statistics for Spatio‐Temporal Data (2012)Spatio-Temporal Wireless Traffic Prediction With Recurrent Neural Network (2018)30 Years of space–time covariance functions (2020)Cellular traffic prediction with machine learning: A survey (2022)Social Influence: Compliance and Conformity (2004)Limits of Predictability in Human Mobility (2010)GMove (2016)The Geography of Pokémon GO (2017)The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement (2019)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Computational Social Science (2009)Friendship and mobility (2011)Mobility Modeling and Prediction in Bike-Sharing Systems (2016)Investigation on the effects of weather and calendar events on bike-sharing according to the trip patterns of bike rentals of stations (2018)Human mobility data in the COVID-19 pandemic: characteristics, applications, and challenges (2021)Private traits and attributes are predictable from digital records of human behavior (2013)Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data (2018)MAC (2019)Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)Spatial Interaction and the Statistical Analysis of Lattice Systems (1974)Spatial Econometrics: Methods and Models (1988)Statistics for Spatial Data (1993)New Approaches for Calculating Moran’s Index of Spatial Autocorrelation (2013)Inequality of public health and its role in spatial accessibility to medical facilities in China (2018)An analytical process of spatial autocorrelation functions based on Moran’s index (2021)Some effects of certain communication patterns on group performance. (1951)A New Status Index Derived from Sociometric Analysis (1953)Factoring and weighting approaches to status scores and clique identification (1972)Where Do Interorganizational Networks Come From? (1999)THE COMPETITIVE ADVANTAGE OF INTERCONNECTED FIRMS: AN EXTENSION OF THE RESOURCE-BASED VIEW. (2002)The Network Origins of Aggregate Fluctuations (2012)Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root (1981)Testing the null hypothesis of stationarity against the alternative of a unit root (1992)Another look at measures of forecast accuracy (2006)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Mapping the world's photos (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)A multi-source dataset of urban life in the city of Milan and the Province of Trentino (2015)An Empirical Study of Geographic User Activity Patterns in Foursquare (2021)Forecasting at Scale (2017)
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