SSTDM Literature Survey : Topics


Spatial and Spatio-temporal data mining Topics
  1. IA--Introduction, Applications (Motivational aspects and papers of applied nature): Papers, Group(Link 1, Link 2)
  2. DT--Data types(ex., Trajectories, Geo-sensor data, Spatial/ST networks, Event datasets, Multi-temporal Imagery,Geo-semantic data): Papers
    1. DT1--Remote Sensing Imagery: Papers, Group: Link 1, Link 2
    2. DT2--Spatial Networks (e.g. transportation networks):Papers, Group Link 1, Link 2, Link 3)
    3. DT3--Trajectories:Papers, Group(Link 1, Link 2)
    4. DT4--Interpretation Models ( conveying the semantics(e.g. flow, diffusion,brownian motion etc.) the data type): Papers Group : Link 1,Link 2
  3. BC--Basic Concepts( measures(e.g. Ripley's K, Moran's I), models(e.g. MRF) etc.): Papers, Group(Link 1, Link 2)
  4. CL--Classification : (CL-SP)Papers, Group(Link 1, Link 2)
  5. PR--Prediction:(PR-SP)Spatial, Group(Link 1, Link 2) (PR-ST) Spatio-temporal, Group(Link 1)
  6. AA--Association Analysis(different pattern semantics(e.g. Co-location, co-orientation, sequence etc.) :(AA-SP)Spatial,Group(Link 1, Link 2) (AA-ST)Spatio-temporal, Group(Link 1, Link 2)
  7. CHA-Clustering and Hotspot Analysis
    1. CHA1--Clustering : Papers, Group(Yet to turn in)
    2. CHA2--Hotspot Analysis:Papers, Group(Link)
  8. OD--Outlier detection : (OD-SP)Spatial, Group(Link 1, Link 2) (OD-ST) Spatio-temporal, Group(Link 1, Link 2)

Literature Organization by Source