Enhancing the quality of geometries of interest (GOIs) extracted from GPS trajectory data using spatio-temporal data aggregation and outlier detection.
Seyed Morteza MousaviAaron HarwoodShanika KarunasekeraMojtaba MaghrebiPublished in: J. Ambient Intell. Humaniz. Comput. (2018)
Keyphrases
- outlier detection
- data aggregation
- trajectory data
- spatio temporal
- gps data
- moving objects
- space time
- wireless sensor networks
- detection algorithm
- map matching
- data streams
- sensor networks
- fraud detection
- density ratio estimation
- road network
- knowledge discovery
- road segments
- credit card fraud detection
- moving object trajectories
- spatial data
- energy efficient
- data mining
- detecting outliers
- temporal information
- video sequences
- image sequences
- high dimensional datasets
- distance based outlier detection
- mobile devices
- detect outliers
- base station
- energy consumption
- least squares
- databases