DMCT-NOTES/unit 5/03_Spatial_and_Temporal_Mining.md

Spatial and Temporal Data Mining

Spatial Data Mining

• Spatial Data: Data related to location or geography (Maps, GPS).
• Goal: Finding patterns in space.
• Tools: GIS (Geographic Information Systems).
• Examples:
  • Finding the best location for a new store.
  • Tracking the spread of a disease on a map.

Temporal Data Mining

• Temporal Data: Data related to time.
• Goal: Finding patterns that change over time (Trends).
• Tasks:
  • Trend Analysis: Is the stock market going up or down?
  • Sequence Analysis: "If event A happens, does event B follow?"
• Example: Analyzing weather patterns over 10 years to predict climate change.