{"id":"https://openalex.org/W2293567188","doi":"https://doi.org/10.5220/0005335700170024","title":"Applying Ensemble-based Online Learning Techniques on Crime Forecasting","display_name":"Applying Ensemble-based Online Learning Techniques on Crime Forecasting","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2293567188","doi":"https://doi.org/10.5220/0005335700170024","mag":"2293567188"},"language":"en","primary_location":{"id":"doi:10.5220/0005335700170024","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005335700170024","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005335700170024","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046553133","display_name":"Anderson Jos\u00e9 de Souza","orcid":null},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Anderson Jos\u00e9 de Souza","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003807083","display_name":"Andr\u00e9 Pinz Borges","orcid":"https://orcid.org/0000-0002-1716-8614"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Pinz Borges","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071380196","display_name":"Heitor Murilo Gomes","orcid":"https://orcid.org/0000-0002-5276-637X"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Heitor Murilo Gomes","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071288743","display_name":"Jean Paul Barddal","orcid":"https://orcid.org/0000-0001-9928-854X"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jean Paul Barddal","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035426257","display_name":"Fabr\u00edcio Enembreck","orcid":"https://orcid.org/0000-0002-1418-3245"},"institutions":[{"id":"https://openalex.org/I176838256","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1","ror":"https://ror.org/02x1vjk79","country_code":"BR","type":"education","lineage":["https://openalex.org/I176838256"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fabr\u00edcio Enembreck","raw_affiliation_strings":["Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil"],"affiliations":[{"raw_affiliation_string":"Pontif\u00edcia Universidade Cat\u00f3lica do Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I176838256"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5046553133"],"corresponding_institution_ids":["https://openalex.org/I176838256"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10304843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"17","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8043301105499268},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.6932730078697205},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6570560932159424},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.6395670175552368},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5987572073936462},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5968212485313416},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.5923439860343933},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5896900296211243},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5804054737091064},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5384544730186462},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5340076684951782},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4449118971824646},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4141429364681244},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.41183212399482727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3704068660736084},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21180152893066406},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08542793989181519}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8043301105499268},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.6932730078697205},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6570560932159424},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.6395670175552368},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5987572073936462},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5968212485313416},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.5923439860343933},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5896900296211243},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5804054737091064},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5384544730186462},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5340076684951782},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4449118971824646},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4141429364681244},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.41183212399482727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3704068660736084},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21180152893066406},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08542793989181519},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005335700170024","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005335700170024","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005335700170024","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005335700170024","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th International Conference on Enterprise Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W139044672","https://openalex.org/W1529840045","https://openalex.org/W1776456436","https://openalex.org/W1912123407","https://openalex.org/W1999038366","https://openalex.org/W2000454347","https://openalex.org/W2016159616","https://openalex.org/W2022775778","https://openalex.org/W2068714596","https://openalex.org/W2084689094","https://openalex.org/W2096846143","https://openalex.org/W2099419573","https://openalex.org/W2124637492","https://openalex.org/W2134125037","https://openalex.org/W2135335717","https://openalex.org/W2141767566","https://openalex.org/W2157141579","https://openalex.org/W2169738360","https://openalex.org/W2171809276","https://openalex.org/W2913205524","https://openalex.org/W2970090392","https://openalex.org/W3139670689"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W4200217704","https://openalex.org/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"Traditional":[0],"prediction":[1],"algorithms":[2,138,184],"assume":[3,141],"that":[4,22,84,113,142,178],"the":[5,17,34,47,63,67,96,108,136,170,179],"underlying":[6],"concept":[7,38,143],"is":[8,82,98],"stationary,":[9],"i.e.,":[10],"no":[11],"changes":[12,32],"are":[13,40,129,150],"expected\r\n\r\nto":[14],"happen":[15],"during":[16],"deployment":[18],"of":[19,65,71,73,79,104,123,181],"an":[20],"algorithm":[21],"would":[23],"render":[24],"it":[25],"obsolete.":[26],"Although,":[27],"for":[28,195],"many\r\n\r\nreal":[29],"world":[30],"scenarios":[31],"in":[33],"data":[35,132,161],"distribution,":[36],"namely":[37],"drifts,":[39],"expected":[41,83],"to":[42,45,90,99,107,152,154,172],"occur":[43,146],"due":[44],"variations\r\n\r\nin":[46],"hidden":[48],"context,":[49],"e.g.,":[50],"new":[51],"government":[52],"regulations,":[53],"climatic":[54],"changes,":[55],"or":[56],"adversary":[57],"adaptation.":[58],"In\r\n\r\nthis":[59],"paper,":[60],"we":[61],"analyze":[62],"problem":[64,124],"predicting":[66],"most":[68],"susceptible":[69],"types":[70,89],"victims":[72],"crimes":[74],"occurred\r\n\r\nin":[75],"a":[76,101],"large":[77],"city":[78],"Brazil.":[80],"It":[81],"criminals":[85],"change":[86],"their":[87],"victims\u00e2\u0080\u0099":[88],"counter":[91],"police":[92,114],"methods\r\n\r\nand":[93],"vice-versa.":[94],"Therefore,":[95],"challenge":[97],"obtain":[100],"model":[102],"capable":[103],"adapting":[105],"rapidly":[106],"current":[109],"preferred\r\n\r\ncriminal":[110],"victims,":[111],"such":[112],"resources":[115],"can":[116],"be":[117],"allocated":[118],"accordingly.":[119],"In":[120,156],"this":[121,157,196],"type":[122],"the\r\n\r\nmost":[125],"appropriate":[126],"learning":[127,137],"models":[128],"provided":[130],"by":[131],"stream":[133,162],"mining,":[134],"since":[135,164],"from\r\n\r\nthis":[139],"domain":[140],"drifts":[144],"may":[145],"over":[147],"time,":[148],"and":[149,169,189],"ready":[151],"adapt":[153,173],"them.":[155],"paper\r\n\r\nwe":[158],"apply":[159],"ensemble-based":[160,183],"methods,":[163],"they":[165],"provide":[166],"good":[167],"accuracy":[168,194],"ability":[171],"to\r\n\r\nconcept":[174],"drifts.":[175],"Results":[176],"show":[177],"application":[180],"these":[182],"(Leveraging":[185],"Bagging,\r\n\r\nSFNClassifier,":[186],"ADWIN":[187],"Bagging":[188],"Online":[190],"Bagging)":[191],"reach":[192],"feasible":[193],"task.":[197]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
