Fraction-Score : a new support measure for co-location pattern mining
Co-location patterns are well-established on spatial objects with categorical labels, which capture the phenomenon that objects with certain labels are often located in close geographic proximity. Similar to frequent itemsets, co-location patterns are defined based on a support measure which quantif...
Main Authors: | Chan, Harry Kai-Ho, Long, Cheng, Yan, Da, Wong, Raymond Chi-Wing |
---|---|
Other Authors: | School of Computer Science and Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/148135 |
Similar Items
-
Architecture-intact oracle for fastest path and time queries on dynamic spatial networks
by: Wei, Victor Junqiu, et al.
Published: (2021) -
Maximal Instance Algorithm for Fast Mining of Spatial Co-Location Patterns
by: Guoqing Zhou, et al.
Published: (2021-03-01) -
Fraction-score : a new support measure for co-location pattern mining
by: Koh, Wei Hao
Published: (2020) -
Design of Mine-used Vehicle Location Device Based on S3C6410
by: WANG Chang-chun, et al.
Published: (2012-12-01) -
Mine personnel fusion location system
by: WU Jingran, et al.
Published: (2018-04-01)