Methodologies of Mining Anomaly Patterns from Spatio-temporal Data

Methodologies of Mining Anomaly Patterns from Spatio-temporal Data

Bibliographic Details
Main Author: SHI Yan
Format: Article
Language:zho
Published: Surveying and Mapping Press 2016-11-01
Series:Acta Geodaetica et Cartographica Sinica
Online Access:http://html.rhhz.net/CHXB/html/2016-11-1386.htm
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spelling doaj-fdddf1b23de54355b93d29190e680dbb2020-11-24T21:01:25ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952016-11-0145111386138610.11947/j.AGCS.2016.2016036020161117Methodologies of Mining Anomaly Patterns from Spatio-temporal DataSHI Yan0State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, Chinahttp://html.rhhz.net/CHXB/html/2016-11-1386.htm
collection DOAJ
language zho
format Article
sources DOAJ
author SHI Yan
spellingShingle SHI Yan
Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
Acta Geodaetica et Cartographica Sinica
author_facet SHI Yan
author_sort SHI Yan
title Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
title_short Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
title_full Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
title_fullStr Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
title_full_unstemmed Methodologies of Mining Anomaly Patterns from Spatio-temporal Data
title_sort methodologies of mining anomaly patterns from spatio-temporal data
publisher Surveying and Mapping Press
series Acta Geodaetica et Cartographica Sinica
issn 1001-1595
1001-1595
publishDate 2016-11-01
url http://html.rhhz.net/CHXB/html/2016-11-1386.htm
work_keys_str_mv AT shiyan methodologiesofmininganomalypatternsfromspatiotemporaldata
_version_ 1716778071416111104

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