时空轨迹的周期性模式挖掘:综述

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE) Pub Date : 2015-11-01 DOI:10.1109/ISKE.2015.92

Dongzhi Zhang, Kyungmi Lee, Ickjai Lee

{"title":"时空轨迹的周期性模式挖掘:综述","authors":"Dongzhi Zhang, Kyungmi Lee, Ickjai Lee","doi":"10.1109/ISKE.2015.92","DOIUrl":null,"url":null,"abstract":"The discovery of hidden and valuable periodic patterns could reveal valuable information to the data analyst. Periodic patterns extracted from spatio-temporal trajectories of moving objects unveil regular movement behavior. This paper surveys the breath and depth review of spatio-temporal periodic pattern mining and presents an overview of periodic pattern discovering methods from spatio-temporal trajectory data.","PeriodicalId":312629,"journal":{"name":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Periodic Pattern Mining for Spatio-Temporal Trajectories: A Survey\",\"authors\":\"Dongzhi Zhang, Kyungmi Lee, Ickjai Lee\",\"doi\":\"10.1109/ISKE.2015.92\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The discovery of hidden and valuable periodic patterns could reveal valuable information to the data analyst. Periodic patterns extracted from spatio-temporal trajectories of moving objects unveil regular movement behavior. This paper surveys the breath and depth review of spatio-temporal periodic pattern mining and presents an overview of periodic pattern discovering methods from spatio-temporal trajectory data.\",\"PeriodicalId\":312629,\"journal\":{\"name\":\"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISKE.2015.92\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2015.92","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 14

摘要

发现隐藏的和有价值的周期性模式可以向数据分析人员揭示有价值的信息。从运动物体的时空轨迹中提取的周期模式揭示了规律的运动行为。本文对时空周期模式挖掘进行了深入的综述，并对基于时空轨迹数据的周期模式发现方法进行了综述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Periodic Pattern Mining for Spatio-Temporal Trajectories: A Survey

The discovery of hidden and valuable periodic patterns could reveal valuable information to the data analyst. Periodic patterns extracted from spatio-temporal trajectories of moving objects unveil regular movement behavior. This paper surveys the breath and depth review of spatio-temporal periodic pattern mining and presents an overview of periodic pattern discovering methods from spatio-temporal trajectory data.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2015 10th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)

自引率

0.00%

发文量