{"id":"https://openalex.org/W2942788488","doi":"https://doi.org/10.1145/3297280.3297586","title":"Multiple perspectives HMM-based feature engineering for credit card fraud detection","display_name":"Multiple perspectives HMM-based feature engineering for credit card fraud detection","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2942788488","doi":"https://doi.org/10.1145/3297280.3297586","mag":"2942788488"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","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/A5077030273","display_name":"Yvan Lucas","orcid":null},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Yvan Lucas","raw_affiliation_strings":["Universit\u00e4t Passau"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Passau","institution_ids":["https://openalex.org/I186354981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016163559","display_name":"Pierre-\u00c9douard Portier","orcid":"https://orcid.org/0000-0002-6439-9466"},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre-Edouard Portier","raw_affiliation_strings":["INSA Lyon"],"affiliations":[{"raw_affiliation_string":"INSA Lyon","institution_ids":["https://openalex.org/I48430043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030136762","display_name":"L\u00e9a Laporte","orcid":null},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"L\u00e9a Laporte","raw_affiliation_strings":["INSA Lyon"],"affiliations":[{"raw_affiliation_string":"INSA Lyon","institution_ids":["https://openalex.org/I48430043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075474718","display_name":"Sylvie Calabretto","orcid":"https://orcid.org/0000-0002-4597-4680"},"institutions":[{"id":"https://openalex.org/I48430043","display_name":"Institut National des Sciences Appliqu\u00e9es de Lyon","ror":"https://ror.org/050jn9y42","country_code":"FR","type":"education","lineage":["https://openalex.org/I203339264","https://openalex.org/I48430043"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Sylvie Calabretto","raw_affiliation_strings":["INSA Lyon"],"affiliations":[{"raw_affiliation_string":"INSA Lyon","institution_ids":["https://openalex.org/I48430043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062257690","display_name":"Olivier Caelen","orcid":"https://orcid.org/0000-0001-6970-9825"},"institutions":[{"id":"https://openalex.org/I170138621","display_name":"Atos (France)","ror":"https://ror.org/015w2wb33","country_code":"FR","type":"company","lineage":["https://openalex.org/I170138621"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Olivier Caelen","raw_affiliation_strings":["ATOS Worldline"],"affiliations":[{"raw_affiliation_string":"ATOS Worldline","institution_ids":["https://openalex.org/I170138621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033128136","display_name":"Liyun He-Guelton","orcid":null},"institutions":[{"id":"https://openalex.org/I170138621","display_name":"Atos (France)","ror":"https://ror.org/015w2wb33","country_code":"FR","type":"company","lineage":["https://openalex.org/I170138621"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Liyun He-Guelton","raw_affiliation_strings":["ATOS Worldline"],"affiliations":[{"raw_affiliation_string":"ATOS Worldline","institution_ids":["https://openalex.org/I170138621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006866152","display_name":"Michael Granitzer","orcid":"https://orcid.org/0000-0003-3566-5507"},"institutions":[{"id":"https://openalex.org/I186354981","display_name":"University of Passau","ror":"https://ror.org/05ydjnb78","country_code":"DE","type":"education","lineage":["https://openalex.org/I186354981"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Michael Granitzer","raw_affiliation_strings":["Universit\u00e4t Passau"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Passau","institution_ids":["https://openalex.org/I186354981"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5077030273"],"corresponding_institution_ids":["https://openalex.org/I186354981"],"apc_list":null,"apc_paid":null,"fwci":2.8003,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.92607325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1359","last_page":"1361"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/credit-card-fraud","display_name":"Credit card fraud","score":0.9147921204566956},{"id":"https://openalex.org/keywords/credit-card","display_name":"Credit card","score":0.8813393115997314},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7718194723129272},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6956579685211182},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6829197406768799},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.572888195514679},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4203028380870819},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37960273027420044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35894250869750977},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20374545454978943},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.17192605137825012},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13942918181419373},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.10165512561798096},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.07159116864204407}],"concepts":[{"id":"https://openalex.org/C2780747020","wikidata":"https://www.wikidata.org/wiki/Q83873","display_name":"Credit card fraud","level":4,"score":0.9147921204566956},{"id":"https://openalex.org/C2983355114","wikidata":"https://www.wikidata.org/wiki/Q161380","display_name":"Credit card","level":3,"score":0.8813393115997314},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7718194723129272},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6956579685211182},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6829197406768799},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.572888195514679},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4203028380870819},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37960273027420044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35894250869750977},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20374545454978943},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.17192605137825012},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13942918181419373},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.10165512561798096},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.07159116864204407},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297586","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1966493433","https://openalex.org/W1976526581","https://openalex.org/W2230049528","https://openalex.org/W2585459224"],"related_works":["https://openalex.org/W2483711049","https://openalex.org/W4224237387","https://openalex.org/W3150316110","https://openalex.org/W4313247660","https://openalex.org/W3153799676","https://openalex.org/W2984276143","https://openalex.org/W4281702918","https://openalex.org/W4391267261","https://openalex.org/W4281858644","https://openalex.org/W2942788488"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"and":[2,27],"data":[3],"mining":[4],"techniques":[5],"have":[6],"been":[7],"used":[8],"extensively":[9],"in":[10],"order":[11],"to":[12],"detect":[13],"credit":[14,21],"card":[15,22],"frauds.":[16],"However,":[17],"most":[18],"studies":[19],"consider":[20],"transactions":[23],"as":[24,29],"isolated":[25],"events":[26],"not":[28],"a":[30],"sequence":[31],"of":[32],"transactions.":[33]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
