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From latency, through outbreak, to decline: detecting different states of emergency events using web resources

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dc.contributor.authorXu, Z.
dc.contributor.authorLuo, X.
dc.contributor.authorLiu, Y.
dc.contributor.authorChoo, K.K.R.
dc.contributor.authorSugumaran, V.
dc.contributor.authorYen, N.
dc.contributor.authorMei, L.
dc.contributor.authorHu, C.
dc.date.issued2018
dc.description.abstractAn emergency event is a sudden, urgent, usually unexpected incident or occurrence that requires an immediate reaction or assistance for emergency situations, which plays an increasingly important role in the global economy and in our daily lives. Recently, the web is becoming an important event information provider and repository due to its real-time, open, and dynamic features. In this paper, web resources based states detecting algorithm of an event is developed in order to let the people know of an emergency event clearly and help the social group or government process the emergency events effectively. The relationship between web and emergency events is first introduced, which is the foundation of using web resources to detect the state of emergency events imaged on the web. Second, five temporal features of emergency events are developed to provide the basis for state detection. Moreover, the outbreak power and the fluctuation power are presented to integrate the above temporal features for measuring the different states of an emergency event. Using these two powers, an automatic state detecting algorithm for emergency events is proposed. In addition, heuristic rules for detecting the states of emergency event on the web are discussed. Our evaluations using real-world data sets demonstrate the utility of the proposed algorithm, in terms of performance and effectiveness in the analysis of emergency events.
dc.identifier.citationIEEE Transactions on Big Data, 2018; 4(2):245-257
dc.identifier.doi10.1109/TBDATA.2016.2599935
dc.identifier.issn2332-7790
dc.identifier.issn2332-7790
dc.identifier.urihttps://hdl.handle.net/11541.2/132759
dc.language.isoen
dc.publisherIEEE
dc.relation.fundingNational Science and Technology Major Project 2013ZX01033002-003
dc.relation.fundingNational Natural Science Foundation of China 61300202
dc.relation.fundingNatural Science Foundation of Shanghai 13ZR1452900
dc.relation.fundingSchool of Business Administration Spring/Summer Research Fellowship from Oakland University
dc.rightsCopyright 2018 IEEE
dc.source.urihttps://doi.org/10.1109/TBDATA.2016.2599935
dc.subjectevents
dc.subjectemergency management
dc.subjectautomatic states detection
dc.subjectweb mining
dc.titleFrom latency, through outbreak, to decline: detecting different states of emergency events using web resources
dc.typeJournal article
pubs.publication-statusPublished
ror.mmsid9916213391601831

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