An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data
Yuan Zhou, Lianxiong Gao
Available Online January 2016.
- https://doi.org/10.2991/icaita-16.2016.47How to use a DOI?
- spatial datamining ; seismic spatial data; probalistic
- earthquake data in spatial database include two typical types point and line feature, this paper propose an algorithm based on apriori for analysis spatial association pattern during point and line feature, and description algorithm process. since the algorithm is a probability-based mining algorithm, it apply in spatial database of seismic spatial database of Yunnan province china for analysis correlation of point and line pattern. The algorithm have certain significance for analysis spatial probabilistic and spatial reasoning for seismic spatial data.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuan Zhou AU - Lianxiong Gao PY - 2016/01 DA - 2016/01 TI - An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data BT - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications PB - Atlantis Press SP - 187 EP - 190 SN - 1951-6851 UR - https://doi.org/10.2991/icaita-16.2016.47 DO - https://doi.org/10.2991/icaita-16.2016.47 ID - Zhou2016/01 ER -