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		<issn>2179-4820</issn>
		<citationkey>VelosoIabrCorr:2013:ToEfPr</citationkey>
		<title>Towards efficient prospective detection of multiple spatio-temporal clusters</title>
		<format>On-line, CD-ROM.</format>
		<year>2013</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Veloso, Bráulio,</author>
		<author>Iabrudi, Andréa,</author>
		<author>Correa, Thais,</author>
		<affiliation>Universidade Federal de Ouro Preto (UFOP)</affiliation>
		<affiliation>Universidade Federal de Ouro Preto (UFOP)</affiliation>
		<affiliation>Universidade Federal de Ouro Preto (UFOP)</affiliation>
		<editor>Andrade, Pedro Ribeiro,</editor>
		<editor>Santanchè, André,</editor>
		<e-mailaddress>seki@dsr.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 14 (GEOINFO).</conferencename>
		<conferencelocation>Campos do Jordão</conferencelocation>
		<date>24-27 nov. 2013</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>12</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Full papers</tertiarytype>
		<transferableflag>1</transferableflag>
		<abstract>In this paper we propose a novel technique to efficiently detect multiple emergent clusters in a space-time point process. Emergent cluster detection in large datasets is a ubiquitous task in any application area where fast response is crucial, like epidemic surveillance, criminology or social networks behavior changing. Although different authors investigate aspects of efficient spatio-temporal cluster detection, they handle either multiple or prospective detection of spatio-temporal clusters. Our work concomitantly presents a solution for both aspects: prospective and multiple cluster efficient detection in space and time. Our results with synthetic data are very encouraging, since with a wide range of parameters, we are able to detect multiple clusters in about 90% of the scenarios with very low type I and II errors (less than 2%), without increasing delay time.</abstract>
		<area>SRE</area>
		<language>en</language>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m18/2013/12.10.18.20</url>
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