Difference between spatial and temporal and web data mining
Answers
Spatial-temporal data combines multiple attributes (latitude, longitude, and time) into units of measure that are useful for understanding human behavior.
Temporal data is interesting because :
(1) it is practically unbounded - we don’t know when it starts or stops
(2) it can be ordered sequentially (some events come before other events in time)
Spatial data is interesting because:
(3) it often reveals relationships based on proximity (e.g. airports are next to airfields, parking lots are next to buildings)
(4) for Internet data users, location often defines a type of relevance (e.g. if I am searching for pizza delivery, then a store near where I live is more relevant than a store far away)
When you combine space & time attributes in a data set, you get a combination of these attributes.
Answer:
There are two basic types of reference locality – temporal and spatial locality. Temporal locality refers to the reuse of specific data and/or resources within a relatively small time duration. Spatial locality (also termed data locality) refers to the use of data elements within relatively close storage locations.
Explanation: