A Survey On Outlier Detection Methods In Spatio-Temporal Datasets

M L Prasanthi, A Krishna Chaitanya, Dr.N Sambasiva Rao

spatio temporal data, outlier detection.

Outlier mining has many applications in the real world, such as Weather forecasting, Traffic management, Forest fire, and crop sciences. Extending these applications to Satellites, sensor networks, RFID technology, GPS and telecommunication systems which have become centers for gathering of large sources of data, several interesting facts from Spatio temporal datasets can be extracted. This paper summarizes recent works on the different outlier detection methods which are suitable to detect outliers from Spatio temporal datasets.

10.22161/ijaers/3.11.27