{"id":"https://openalex.org/W2514877265","doi":"https://doi.org/10.1007/s41060-016-0019-9","title":"Anytime algorithm for frequent pattern outlier detection","display_name":"Anytime algorithm for frequent pattern outlier detection","publication_year":2016,"publication_date":"2016-08-18","ids":{"openalex":"https://openalex.org/W2514877265","doi":"https://doi.org/10.1007/s41060-016-0019-9","mag":"2514877265"},"language":"en","primary_location":{"id":"doi:10.1007/s41060-016-0019-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-016-0019-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-016-0019-9.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-016-0019-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074427563","display_name":"Arnaud Giacometti","orcid":"https://orcid.org/0000-0003-0270-5146"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Arnaud Giacometti","raw_affiliation_strings":["LI EA 6300, Universit\u00e9 Fran\u00e7ois Rabelais Tours, 3 Place Jean Jaur\u00e8s, 41029, Blois, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LI EA 6300, Universit\u00e9 Fran\u00e7ois Rabelais Tours, 3 Place Jean Jaur\u00e8s, 41029, Blois, France","institution_ids":["https://openalex.org/I110017253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074295266","display_name":"Arnaud Soulet","orcid":"https://orcid.org/0000-0001-8335-6069"},"institutions":[{"id":"https://openalex.org/I110017253","display_name":"Universit\u00e9 de Tours","ror":"https://ror.org/02wwzvj46","country_code":"FR","type":"education","lineage":["https://openalex.org/I110017253"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Arnaud Soulet","raw_affiliation_strings":["LI EA 6300, Universit\u00e9 Fran\u00e7ois Rabelais Tours, 3 Place Jean Jaur\u00e8s, 41029, Blois, France"],"raw_orcid":"https://orcid.org/0000-0001-8335-6069","affiliations":[{"raw_affiliation_string":"LI EA 6300, Universit\u00e9 Fran\u00e7ois Rabelais Tours, 3 Place Jean Jaur\u00e8s, 41029, Blois, France","institution_ids":["https://openalex.org/I110017253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074427563"],"corresponding_institution_ids":["https://openalex.org/I110017253"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.092,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9306783,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2","issue":"3-4","first_page":"119","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991999864578247,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8484777808189392},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7860070466995239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7219375371932983},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6662531495094299},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6177013516426086},{"id":"https://openalex.org/keywords/local-outlier-factor","display_name":"Local outlier factor","score":0.6001260876655579},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5535262823104858},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4937354028224945},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43005549907684326},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4230864644050598},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4220849275588989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36576592922210693},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14495405554771423},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14004263281822205}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8484777808189392},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7860070466995239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7219375371932983},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6662531495094299},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6177013516426086},{"id":"https://openalex.org/C169029474","wikidata":"https://www.wikidata.org/wiki/Q387942","display_name":"Local outlier factor","level":3,"score":0.6001260876655579},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5535262823104858},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4937354028224945},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43005549907684326},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4230864644050598},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4220849275588989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36576592922210693},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14495405554771423},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14004263281822205},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41060-016-0019-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-016-0019-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-016-0019-9.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01398777v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01398777","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://link.springer.com/","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.1007/s41060-016-0019-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41060-016-0019-9","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs41060-016-0019-9.pdf","source":{"id":"https://openalex.org/S4210195017","display_name":"International Journal of Data Science and Analytics","issn_l":"2364-415X","issn":["2364-415X","2364-4168"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319972","host_organization_name":"Springer International Publishing","host_organization_lineage":["https://openalex.org/P4310319972","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer International Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Data Science and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2514877265.pdf","grobid_xml":"https://content.openalex.org/works/W2514877265.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W15476721","https://openalex.org/W57706509","https://openalex.org/W66155912","https://openalex.org/W84222935","https://openalex.org/W110448720","https://openalex.org/W150715854","https://openalex.org/W1484413656","https://openalex.org/W1536950352","https://openalex.org/W1692516163","https://openalex.org/W1966147156","https://openalex.org/W1976129448","https://openalex.org/W1979462644","https://openalex.org/W1998451569","https://openalex.org/W2020246567","https://openalex.org/W2040900398","https://openalex.org/W2044425052","https://openalex.org/W2049058890","https://openalex.org/W2079557269","https://openalex.org/W2087591355","https://openalex.org/W2096942889","https://openalex.org/W2107247620","https://openalex.org/W2109483014","https://openalex.org/W2125227861","https://openalex.org/W2143211346","https://openalex.org/W2143689944","https://openalex.org/W2154642793","https://openalex.org/W2155325661","https://openalex.org/W2162774438","https://openalex.org/W2170902455","https://openalex.org/W2396032095","https://openalex.org/W2415619149","https://openalex.org/W2576694568","https://openalex.org/W4250255282","https://openalex.org/W4299379046","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W2770832849","https://openalex.org/W3111802945","https://openalex.org/W205872183","https://openalex.org/W114119537","https://openalex.org/W4240627425","https://openalex.org/W2761705761","https://openalex.org/W2904893831","https://openalex.org/W2912112202","https://openalex.org/W2946096271"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
