NDLI: Big spatio-temporal data mining for emergency management information systems

Content Provider	IET Digital Library
Author	Dagaeva, Maria Garaeva, Alina Anikin, Igor Makhmutova, Alisa Minnikhanov, Rifkat
Abstract	Nowadays, spatio-temporal data analytics plays an important role in different applications based on geographic information system (GIS). One of such applications is emergency management information systems (EMISs) which process a huge amount of spatio-temporal data that can be considered as Big Data (BD). Effective EMIS data analysis will allow authorities to improve the management of emergency events, including those related to traffic problems (traffic accidents, traffic jams, etc.). However, the stack of modern technologies dealing with BD does not provide natively supported functions for spatio-temporal data analysis, so they have to be developed and implemented for EMIS. In this study, the authors developed and evaluated several algorithms and a framework for big spatio-temporal data mining in the Russian EMIS GLONASS + 112112. They suggested improved spatio-temporal co-location patterns mining technique based on DBSCAN, FPGrowth, and natural language processing (NLP). They detected spatio-temporal outliers and spatial autocorrelation. Finally, they evaluated the scalability and time performance of algorithms. They found that using NLP and aggregation of an emergency dataset with weather to enhance the number of emergency categories could significantly increase the quality of association rules. They discovered valuable association rules related to traffic accidents in the dedicated area of Kazan city.
Starting Page	1649
Ending Page	1657
Page Count	9
ISSN	1751956X
Volume Number	13
e-ISSN	17519578
Issue Number	Issue 11, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-its/13/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-its.2019.0171
Journal	IET Intelligent Transport Systems
Publisher Date	2019-09-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Big Data Big Spatio-temporal Data Mining Data Handling Technique Data Mining Effective EMIS Data Analysis Emergency Events Emergency Management Emergency Management Information System Geographic Information System Knowledge Engineering Technique Natural Language Processing Pattern Clustering Public Administration Spatio-temporal Co-location Pattern Spatio-temporal Data Analysis Spatio-temporal Data Analytics Spatio-temporal Outliers Spatiotemporal Phenomena Traffic Accidents
Content Type	Text
Resource Type	Article
Subject	Law Transportation Environmental Science Mechanical Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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