Managing Uncertainty in Evolving Geo-Spatial Data

Andreas Zufle, Goce Trajcevski, Dieter Pfoser, Joon Seok Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Our ability to extract knowledge from evolving spatial phenomena and make it actionable is often impaired by unreliable, erroneous, obsolete, imprecise, sparse, and noisy data. Integrating the impact of this uncertainty is a paramount when estimating the reliability/confidence of any time-varying query result from the underlying input data. The goal of this advanced seminar is to survey solutions for managing, querying and mining uncertain spatial and spatio-Temporal data. We survey different models and show examples of how to efficiently enrich query results with reliability information. We discuss both analytical solutions as well as approximate solutions based on geosimulation.

Original languageEnglish
Title of host publicationProceedings - 2020 21st IEEE International Conference on Mobile Data Management, MDM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-8
Number of pages4
ISBN (Electronic)9781728146638
DOIs
StatePublished - Jun 2020
Event21st IEEE International Conference on Mobile Data Management, MDM 2020 - Versailles, France
Duration: Jun 30 2020Jul 3 2020

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
Volume2020-June
ISSN (Print)1551-6245

Conference

Conference21st IEEE International Conference on Mobile Data Management, MDM 2020
Country/TerritoryFrance
CityVersailles
Period06/30/2007/3/20

Funding

Dr. Pfoser and Dr. Züfle are supported by National Science Foundation AitF grant CCF-1637541. Dr. Trajcevski is supported by National Science Foundation grant CNS 1646107. III. PRESENTER BIOS Andreas Züfle received his PhD in Computer Science from LMU, Munich in 2013 under the direction of Dr. Hans-Peter Kriegel. Since January 2016, he is an Assistant Professor at the Department of Geography and Geoinformation Science at George Mason University. His research interests include managing, querying and mining of uncertain geo-spatial data and geosimulation. Since 2016, he has been awarded more than 2M USD in research funding from the National Science Foundation and the Defense Advanced Research Project Agency. Dieter Pfoser received his PhD in Computer Science from Aalborg University, Denmark in 2000. He is the chair of the Department of Geography and Geoinformation Science, George Mason University, USA. His research focuses on spatiotemporal databases, shortest-path algorithms and data mining methods for user-generated geospatial content such as map matching and map construction. He has co-authored more than 100 papers and his research has been supported by various funding agencies in Europe and the US. Goce Trajcevski received his PhD from the University of Illinois at Chicago in 2002 and his main research interests are in the areas of Mobile Data Management, Uncertainty Management and Sensor Networks. His research has been funded by the NSF, ONR as well as industry (Nortrhop Grumman and BEA). He has co-authored over 140 publications in refereed conferences and journals, served as a General Co-Chair of ICDE 2014 and ACM SIGSPATIAL 2019, PC Co-Chair of ADBIS 2014 and ACM GIS 2016. Joon-Seok Kim received his PhD in Computer Science from Pusan National University in 2016. He is currently a postdoctoral research fellow at the Department of Geography and Geoinformation Science, George Mason University. His research interests include spatiotemporal databases, data mining, geospatial simulation, and location privacy. His SmartAgent won the first place at ACM GIS Cup 2019. He was a PC cochair of the GeoSim in 2018 and 2019, and the chair of AI and Simulation track of SpringSim in 2020.

Fingerprint

Dive into the research topics of 'Managing Uncertainty in Evolving Geo-Spatial Data'. Together they form a unique fingerprint.

Cite this