Question

Difference between spatial and temporal mining in data mining

Answer 1

The main difference between data mining and spatial data mining is that in spatial data mining tasks we use not only non- spatial attributes (as it is usual in data mining in non- spatial ...

Answer 2

Spatial data mining is the method of identifying unusual and previously unexplored, but conceivably useful models from spatial databases. A spatial database reserves spatial objects described by spatial data types and spatial associations among such objects.

Temporal data mining deals with the accumulation of useful knowledge from temporal data. New enterprises in health care and business associations have developed the consequence of temporal knowledge in data today. From basic data mining thoughts to state-of-the-art approaches, Temporal Data Mining comprises the prerequisite of this subject as well as its utilization in a modification of fields.