Why-not questions about spatial temporal top-k trajectory similarity search

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成果类型：

期刊论文

作者：

Luo, Changyin;Dan, Tangpeng;Li, Yanhong;Meng, Xiaofeng;Li, Guohui

通讯作者：

Tangpeng Dan

作者机构：

[Luo, Changyin] Cent China Normal Univ, Hubei Prov key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.

[Meng, Xiaofeng; Dan, Tangpeng] Renmin Univ China, Sch Informat, Beijing, Peoples R China.

[Luo, Changyin] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.

[Luo, Changyin] Natl Language Resources Monitor & Res Ctr Network, Beijing, Peoples R China.

[Li, Yanhong] South Cent Univ Nationalities, Coll Comp Sci, Wuhan, Peoples R China.

通讯机构：

[Tangpeng Dan] S

School of Information, Renmin University of China, China

语种：

英文

关键词：

Efficiency;Query processing;Desired trajectories;Efficient time;Searching spaces;Similarity functions;Similarity search;Spatial temporals;Top-k trajectory similarity search;Trajectory similarities;Two-dimensional;Why-not;Trajectories

期刊：

Knowledge-Based Systems

ISSN：

0950-7051

年：

2021

卷：

231

页码：

107407

DOI：

10.1016/j.knosys.2021.107407

基金类别：

This research is supported by the Ministry of Education of Humanities and Social Science Project of China (Grant No. 20YJCZH111 ), and the Fundamental Research Funds for the Central Universities (CCNU: Grant No. CCNU20ZT013 ), Natural Science Foundation of Hubei Province of China (Grant No. 2017CFB135 ).

机构署名：

本校为第一机构

院系归属：

计算机学院

摘要：

Extensive efforts have been made to improve the efficiency of the top-k trajectory similarity search(TkTSS), which retrieves k similarity trajectories for a given trajectory with a similarity function. When a user issues a initial query, s/he may find some desired trajectories are not in the result and may question why these expected trajectories are missing. To address this problem, we develop a so-called why-not spatial temporal TkTSS that is able to minimally modify the original top-k result into a result which contains the expected missing trajectories. In this paper, a novel hybrid SGP in...

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