作者: Jeremy Fix , Rudolph Mappus , Ravishankar Doejode , James Morgan White
DOI:
关键词: Mobile device 、 Geolocation 、 Kernel density estimation 、 Wireless 、 Geography 、 Point (geometry) 、 Inference 、 Grouped data 、 Geographic coordinate system 、 Data mining
摘要: More efficient mobile device location data can be obtained by estimating a most likely point in coverage pattern using kernel density estimation technique. The technique provide continuous estimate of the frequented locations device(s) within area. For each wireless sector, collected grouped to closest geographic coordinate system, and an inference made based on data.