An Updating Algorithm for Spatial and Temporal Data Association Rule
LIU Bohong
WANG Juanjuan
Abstract：Most of the present updating association rule algorithms have drawbacks that produce a large number of can‐didate sets ,multiple scans of the database ,and have a little research on the spatial and temporal data .To solve this problem , an updating association rule algorithm based on sliding window is proposed in this paper which encodes access data in memory and then only mines the encoding data in memory directly ,without repeatedly reading the database information .Meanwhile , the algorithm adds a space constraints to filter irrelevant space data when generating candidate sets by frequent itemsets to improve the execution speed and processing performance .Experiment results show that the algorithm has higher mining effi‐ciency and has important application value for intelligent transportation ,command and control ,etc .
Keywords：association rulesliding windowrun-length encodingspatial and temporal data
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1767-1770,1774 )