面向大数据的时空数据挖掘综述

A Survey of Spatiotemporal Data Mining for Big Data

时空数据挖掘是数据挖掘领域的前沿研究课题,正致力于开发和应用新兴的计算技术来分析海量、高维的时空数据,揭示时空数据中的有价值知识.本文以时空大数据为背景,介绍数据挖掘技术产生的背景与发展、时空数据挖掘的研究现状、研究内容、应用领域、面向大数据的时空数据挖掘系统架构以及实现技术,为相关领域的研究者提供参考.

Spatiotemporal data mining has emerged as an active research field,focusing on the development of computing technologies for the extraction of useful information and knowledge from massive and complex spatiotemporal database. This paper mainly focuses on spatiotemporal data mining for big data,introduces the background and development of data mining, the recent theoretical and applied research progress in spatiotemporal data mining, and discusses the infrastructure and technologies of spatiotemporal data mining for big data.