A novel method for spatial frequent items query based on concept lattice

Aopeng Xu; Tao Xu; Xiaqing Ma; Zixiang Zhang

doi:10.1117/12.2626439

21 December 2021 A novel method for spatial frequent items query based on concept lattice

Aopeng Xu, Tao Xu, Xiaqing Ma, Zixiang Zhang

Proceedings Volume 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021); 121560K (2021) https://doi.org/10.1117/12.2626439
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 2021, Sanya, China

Abstract

The popularization of 5G technology and the development of mobile network devices have given spatial textual dataset more dimensions, which means that the spatial text datasets recording geographical objects are given multiple source and attributes. Data mining on these datasets has become a meaningful work. Top-k spatial keyword query as a common research using spatial textual big data, after years of development, people have proposed a large number of index framework to achieve query. However, previous work often only focused on location and small amount of text, ignoring the associations between objects in spatial textual big data. In order to mine the knowledge contained in the dataset, we propose a Top-k Frequent spatial Keyword Query (TkFKQ) algorithm to index the frequent items in spatial textual dataset. In order to achieve this index, we design an index framework for knowledge mining of spatial textual data sets. The framework combines R-tree with concept lattice for TkFKQ. A large number of comparative experiments are carried out on the real data set to evaluate the method.

Citation Download Citation

Aopeng Xu, Tao Xu, Xiaqing Ma, and Zixiang Zhang "A novel method for spatial frequent items query based on concept lattice", Proc. SPIE 12156, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2021), 121560K (21 December 2021); https://doi.org/10.1117/12.2626439

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