{"id":"https://openalex.org/W2785707695","doi":"https://doi.org/10.1109/la-cci.2017.8285697","title":"Self-organizing maps for anomaly detection in fuel consumption. Case study: Illegal fuel storage in Bolivia","display_name":"Self-organizing maps for anomaly detection in fuel consumption. Case study: Illegal fuel storage in Bolivia","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2785707695","doi":"https://doi.org/10.1109/la-cci.2017.8285697","mag":"2785707695"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci.2017.8285697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001336472","display_name":"Vanessa Gironda Aquize","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vanessa Gironda Aquize","raw_affiliation_strings":["University of Pernambuco, Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008861320","display_name":"Eduardo Emery","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Eduardo Emery","raw_affiliation_strings":["University of Pernambuco, Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]},{"author_position":"last","author":{"id":null,"display_name":"Fernando Buarque de Lima Neto","orcid":null},"institutions":[{"id":"https://openalex.org/I71437568","display_name":"Universidade de Pernambuco","ror":"https://ror.org/00gtcbp88","country_code":"BR","type":"education","lineage":["https://openalex.org/I71437568"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando Buarque de Lima Neto","raw_affiliation_strings":["University of Pernambuco, Recife, Pernambuco, Brazil"],"affiliations":[{"raw_affiliation_string":"University of Pernambuco, Recife, Pernambuco, Brazil","institution_ids":["https://openalex.org/I71437568"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001336472"],"corresponding_institution_ids":["https://openalex.org/I71437568"],"apc_list":null,"apc_paid":null,"fwci":0.4158,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74327216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13429","display_name":"Electricity Theft Detection Techniques","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7024477124214172},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.6068862080574036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5916085243225098},{"id":"https://openalex.org/keywords/fuel-efficiency","display_name":"Fuel efficiency","score":0.5864245295524597},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5525293350219727},{"id":"https://openalex.org/keywords/subsidy","display_name":"Subsidy","score":0.5444073677062988},{"id":"https://openalex.org/keywords/fuel-supply","display_name":"Fuel supply","score":0.5424867272377014},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5292726755142212},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.5275221467018127},{"id":"https://openalex.org/keywords/cryptocurrency","display_name":"Cryptocurrency","score":0.48288893699645996},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4674312472343445},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.46156683564186096},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41661885380744934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30130165815353394},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.21565595269203186},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.15857020020484924}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7024477124214172},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.6068862080574036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5916085243225098},{"id":"https://openalex.org/C45882903","wikidata":"https://www.wikidata.org/wiki/Q5042317","display_name":"Fuel efficiency","level":2,"score":0.5864245295524597},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5525293350219727},{"id":"https://openalex.org/C84265765","wikidata":"https://www.wikidata.org/wiki/Q193219","display_name":"Subsidy","level":2,"score":0.5444073677062988},{"id":"https://openalex.org/C2993825473","wikidata":"https://www.wikidata.org/wiki/Q14554973","display_name":"Fuel supply","level":2,"score":0.5424867272377014},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5292726755142212},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.5275221467018127},{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.48288893699645996},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4674312472343445},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.46156683564186096},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41661885380744934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30130165815353394},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21565595269203186},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.15857020020484924},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci.2017.8285697","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci.2017.8285697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1569512666","https://openalex.org/W1967396805","https://openalex.org/W1990517717","https://openalex.org/W2005081781","https://openalex.org/W2012368384","https://openalex.org/W2031366272","https://openalex.org/W2044309218","https://openalex.org/W2110802877","https://openalex.org/W2122646361","https://openalex.org/W2296441075","https://openalex.org/W2346471411","https://openalex.org/W3183452638","https://openalex.org/W6651618629","https://openalex.org/W6798651032"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W3210364259","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4300558037","https://openalex.org/W4377864969","https://openalex.org/W3030345572"],"abstract_inverted_index":{"Currently,":[0],"Bolivia":[1],"is":[2],"a":[3,30,37],"country":[4],"that":[5,67,87],"suffers":[6],"problems":[7],"due":[8],"to":[9,53,83,103,123],"fuel":[10,24,74],"smuggling":[11],"caused":[12],"by":[13],"the":[14,20,23,41,60,62,77,95,126],"subsidy.":[15],"To":[16],"address":[17],"this":[18],"problem,":[19],"government":[21],"records":[22,46],"supply":[25],"of":[26,44,56,64,72,106,108],"each":[27,65],"vehicle":[28,66],"through":[29],"Radio":[31],"Frequency":[32],"Identification":[33],"(RFID)":[34],"technology":[35],"as":[36],"control":[38],"action.":[39],"However,":[40],"massive":[42],"volumes":[43],"stored":[45],"does":[47],"not":[48],"have":[49],"any":[50],"intelligent":[51],"engine":[52],"support":[54],"tasks":[55],"detecting":[57],"anomalies":[58,85,112,129],"during":[59],"monitoring":[61],"consumption":[63,107],"could":[68],"be":[69,89],"possible":[70],"incidents":[71],"illegal":[73],"storage.":[75],"Thus,":[76],"present":[78],"work":[79],"proposes":[80],"an":[81],"algorithm":[82],"identify":[84,111],"behaviors":[86],"may":[88],"considered":[90],"fraud":[91],"cases.":[92],"We":[93],"use":[94],"unsupervised":[96],"machine":[97],"learning":[98],"technique,":[99],"Self-Organizational":[100],"Maps":[101],"(SOM),":[102],"extract":[104],"patterns":[105],"vehicles":[109],"and":[110,118],"scores":[113],"based":[114],"on":[115],"its":[116],"own":[117],"group":[119],"history":[120],"behavior.":[121],"According":[122],"our":[124],"results,":[125],"proposal":[127],"detects":[128],"with":[130],"80%":[131],"certainty.":[132]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
