Journal
SPATIAL INFORMATION RESEARCH
Volume 25, Issue 2, Pages 271-280Publisher
SPRINGER SINGAPORE PTE LTD
DOI: 10.1007/s41324-017-0094-6
Keywords
Spatial frequent wordset; Spatial association rule; Social data mining
Categories
Funding
- National Land Space Information Research Program - Ministry of Land, Infrastructure and Transport of Korean government [14NSIP-B080144-01]
Ask authors/readers for more resources
In this paper, we propose an algorithm that extracts spatial frequent patterns to explain the relative characteristics of a specific location from the available social data. This paper proposes a spatial social data model which includes spatial social data, spatial support, spatial frequent patterns, spatial partition, and spatial clustering; these concepts are used for describing the exploration algorithm of spatial frequent patterns. With these defined concepts as the foundation, an SFP-tree structure that maintains not only the frequent words but also the frequent cells was proposed, and an SFP-growth algorithm that explores the frequent patterns on the basis of this SFP-tree was proposed.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available