A MapReduce-Based Parallel Frequent Pattern Growth Algorithm for Spatiotemporal Association Analysis of Mobile Trajectory Big Data

Table 1

Association rules in the spatial dimension.

	Confidence
GPS–lon = (116.305527–116.611407   GPS–s = (0–29.166667 GPS–lat = (39.784276–40.234173	0.89
GPS–lon = (116.305527–116.611407 GPS–lat = (39.784276–40.234173	0.92
GPS–lon = (116.305527–116.611407   GPS–lat = (39.784276–40.234173 GPS–s = (0–29.166667	0.63
GPS–lon = (115.846706–116.305527 GPS–lat = (39.33438–40.009225	0.87
GPS–lon = (116.305527–116.764347 GPS–lat = (39.33438–40.009225	0.81
GPS–lon = (116.305527–116.764347   GPS–lat = (39.33438–40.009225 GPS–s = (0–43.75	0.77
GPS–lon = (116.121999–116.489055 GPS–lat = (39.604317–40.144194	0.97
GPS–lon = (116.121999–116.489055   GPS–lat = (39.604317–40.144194 GPS–s = (0–35	0.70
GPS–s = (0–35 GPS–lon = (116.121999–116.489055   GPS–lat = (39.604317–40.144194	0.68
GPS–lat = (39.671802–40.009225 GPS–s = (0–21.87	0.66

–lon represents the longitude of GPS, GPS–lat denotes the latitude of GPS, and GPS–s is the speed of GPS, respectively. Here, GPS–lon = (116.305527–116.611407 indicates the longitude of GPS which is between 116.305527 and 116.611407.