Publicación:
A NEW AND EFFICIENT ALGORITHM TO LOOK FOR PERIODIC PATTERNS ON SPATIO-TEMPORAL DATABASES

dc.creatorTATIANA ANDREA GUTIÉRREZ BUNSTER
dc.creatorCLAUDIO ORLANDO GUTIÉRREZ SOTO
dc.date2022
dc.date.accessioned2025-01-10T15:26:31Z
dc.date.available2025-01-10T15:26:31Z
dc.date.issued2022
dc.description.abstractBIG DATA IS A GENERIC TERM THAT INVOLVES THE STORING AND PROCESSING OF A LARGE AMOUNT OF DATA. THIS LARGE AMOUNT OF DATA HAS BEEN PROMOTED BY TECHNOLOGIES SUCH AS MOBILE APPLICATIONS, INTERNET OF THINGS (IOT), AND GEOGRAPHIC INFORMATION SYSTEMS (GIS). AN EXAMPLE OF GIS IS A SPATIO-TEMPORAL DATABASE (STDB). A COMPLEX PROBLEM TO ADDRESS IN TERMS OF PROCESSING TIME IS PATTERN SEARCHING ON STDB. NOWADAYS, HIGH INFORMATION PROCESSING CAPACITY IS AVAILABLE EVERYWHERE. NEVERTHELESS, THE PATTERN SEARCHING PROBLEM ON STDB USING TRADITIONAL DATA MINING TECHNIQUES IS COMPLEX BECAUSE THE DATA INCORPORATE THE TEMPORAL ASPECT. TRADITIONAL TECHNIQUES OF PATTERN SEARCHING, SUCH AS TIME SERIES, DO NOT INCORPORATE THE SPATIAL ASPECT. FOR THIS REASON, TRADITIONAL ALGORITHMS BASED ON ASSOCIATION RULES MUST BE ADAPTED TO FIND THESE PATTERNS. MOST OF THE ALGORITHMS TAKE EXPONENTIAL PROCESSING TIMES. IN THIS PAPER, A NEW EFFICIENT ALGORITHM (NAMED MINUS-F1) TO LOOK FOR PERIODIC PATTERNS ON STDB IS PRESENTED. OUR ALGORITHM IS COMPARED WITH APRIORI, MAX-SUBPATTERN, AND PPA ALGORITHMS ON SYNTHETIC AND REAL STDB. ADDITIONALLY, THE COMPUTATIONAL COMPLEXITIES FOR EACH ALGORITHM IN THE WORST CASES ARE PRESENTED. EMPIRICAL RESULTS SHOW THAT MINUS-F1 IS NOT ONLY MORE EFFICIENT THAN APRIORI, MAX-SUBPATTERN, AND PAA, BUT ALSO IT PRESENTS A POLYNOMIAL BEHAVIOR.
dc.formatapplication/pdf
dc.identifier.doi10.3233/JIFS-219245
dc.identifier.issn1875-8967
dc.identifier.issn1064-1246
dc.identifier.urihttps://repositorio.ubiobio.cl/handle/123456789/12032
dc.languagespa
dc.publisherJOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.relation.uri10.3233/JIFS-219245
dc.rightsPUBLICADA
dc.titleA NEW AND EFFICIENT ALGORITHM TO LOOK FOR PERIODIC PATTERNS ON SPATIO-TEMPORAL DATABASES
dc.title.alternativeUN NUEVO Y EFICIENTE ALGORITMO PARA BUSCAR PATRONES PERIÓDICOS EN BASES DE DATOS ESPACIO-TEMPORALES
dc.typeARTÍCULO
dspace.entity.typePublication
ubb.EstadoPUBLICADA
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.Otra ReparticionDEPARTAMENTO DE SISTEMAS DE INFORMACION
ubb.SedeCONCEPCIÓN
ubb.SedeCONCEPCIÓN
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