An Apriori Based Algorithm Associated Point Line Pattern Applied in Seismic Spatial Data

DOI

10.2991/icaita-16.2016.47How to use a DOI?

Keywords

spatial datamining; seismic spatial data; probalistic

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icaita-16.2016.47
ID  - Zhou2016/01
ER  -