{"id":"https://openalex.org/W2997559697","doi":"https://doi.org/10.3390/info11010026","title":"A Parameter-Free Outlier Detection Algorithm Based on Dataset Optimization Method","display_name":"A Parameter-Free Outlier Detection Algorithm Based on Dataset Optimization Method","publication_year":2019,"publication_date":"2019-12-31","ids":{"openalex":"https://openalex.org/W2997559697","doi":"https://doi.org/10.3390/info11010026","mag":"2997559697"},"language":"en","primary_location":{"id":"doi:10.3390/info11010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11010026","pdf_url":"https://www.mdpi.com/2078-2489/11/1/26/pdf?version=1579512137","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/11/1/26/pdf?version=1579512137","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100404991","display_name":"Liying Wang","orcid":"https://orcid.org/0000-0001-6899-3289"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liying Wang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100658552","display_name":"Lei Shi","orcid":"https://orcid.org/0009-0008-1722-5608"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Shi","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087502853","display_name":"Liancheng Xu","orcid":"https://orcid.org/0000-0001-5396-8320"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liancheng Xu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100716216","display_name":"Peiyu Liu","orcid":"https://orcid.org/0000-0002-2905-5473"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peiyu Liu","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057553752","display_name":"Lindong Zhang","orcid":"https://orcid.org/0000-0002-5024-595X"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lindong Zhang","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102992047","display_name":"Yanru Dong","orcid":"https://orcid.org/0000-0002-5078-2480"},"institutions":[{"id":"https://openalex.org/I28006308","display_name":"Shandong Normal University","ror":"https://ror.org/01wy3h363","country_code":"CN","type":"education","lineage":["https://openalex.org/I28006308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanru Dong","raw_affiliation_strings":["School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Shandong Normal University, Jinan 250358, China","institution_ids":["https://openalex.org/I28006308"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100658552"],"corresponding_institution_ids":["https://openalex.org/I28006308"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.2891,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6838761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"11","issue":"1","first_page":"26","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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":1.0,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9620000123977661,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9503999948501587,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.838432788848877},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7667407989501953},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6926151514053345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581109166145325},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5190870761871338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47650542855262756},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44351521134376526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4386471211910248},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4208880364894867},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4044996500015259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3509964346885681},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23161780834197998}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.838432788848877},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7667407989501953},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6926151514053345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581109166145325},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5190870761871338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47650542855262756},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44351521134376526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4386471211910248},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4208880364894867},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4044996500015259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3509964346885681},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23161780834197998},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info11010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11010026","pdf_url":"https://www.mdpi.com/2078-2489/11/1/26/pdf?version=1579512137","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cba0e380054a4bcebbe9387840c79c06","is_oa":true,"landing_page_url":"https://doaj.org/article/cba0e380054a4bcebbe9387840c79c06","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 11, Iss 1, p 26 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/11/1/26/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info11010026","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info11010026","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info11010026","pdf_url":"https://www.mdpi.com/2078-2489/11/1/26/pdf?version=1579512137","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1035537796","display_name":null,"funder_award_id":"19BYY076","funder_id":"https://openalex.org/F4320327557","funder_display_name":"National Office for Philosophy and Social Sciences"}],"funders":[{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320327557","display_name":"National Office for Philosophy and Social Sciences","ror":"https://ror.org/04m0ms912"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2997559697.pdf","grobid_xml":"https://content.openalex.org/works/W2997559697.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W845124934","https://openalex.org/W1519268540","https://openalex.org/W1988833430","https://openalex.org/W2029073757","https://openalex.org/W2049058890","https://openalex.org/W2096710126","https://openalex.org/W2122646361","https://openalex.org/W2134532107","https://openalex.org/W2137130182","https://openalex.org/W2140027094","https://openalex.org/W2169148264","https://openalex.org/W2170651405","https://openalex.org/W2187643071","https://openalex.org/W2197830862","https://openalex.org/W2395028581","https://openalex.org/W2489793944","https://openalex.org/W2500022925","https://openalex.org/W2566191569","https://openalex.org/W2568185844","https://openalex.org/W2586258914","https://openalex.org/W2590761734","https://openalex.org/W2597991716","https://openalex.org/W2620787348","https://openalex.org/W2747280032","https://openalex.org/W2760451156","https://openalex.org/W2785389416","https://openalex.org/W2787338698","https://openalex.org/W2797835225","https://openalex.org/W2890094042","https://openalex.org/W2963208436","https://openalex.org/W4254182148","https://openalex.org/W4256141317","https://openalex.org/W4293417080","https://openalex.org/W6662862754"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W3006513224","https://openalex.org/W2949601986","https://openalex.org/W2046456988","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"Recently,":[0],"outlier":[1,24,57,107,139,146,174],"detection":[2,25,58,108,140,175],"has":[3],"widespread":[4],"applications":[5],"in":[6,15,78,168],"different":[7],"areas.":[8],"The":[9,22],"task":[10],"is":[11,81],"to":[12,141],"identify":[13],"outliers":[14],"the":[16,31,49,75,92,113,116,122,128,136,171],"dataset":[17,62,69,77],"and":[18,36,98,127,159,176],"extract":[19],"potential":[20],"information.":[21],"existing":[23],"algorithms":[26],"mainly":[27],"do":[28],"not":[29],"solve":[30,48],"problems":[32],"of":[33,94,115,118,124,130,138,157,170,173],"parameter":[34],"selection":[35],"high":[37],"computational":[38],"cost,":[39],"which":[40,73,79],"leaves":[41],"enough":[42],"room":[43],"for":[44],"further":[45],"improvements.":[46],"To":[47],"above":[50],"problems,":[51],"our":[52,164],"paper":[53],"proposes":[54],"a":[55,68,84,105,143,155],"parameter-free":[56,106],"algorithm":[59],"based":[60],"on":[61,154],"optimization":[63,70],"method.":[64,109],"Firstly,":[65],"we":[66,90,103,111],"propose":[67,91,112],"method":[71,165],"(DOM),":[72],"initializes":[74],"original":[76],"density":[80],"greater":[82],"than":[83],"specific":[85],"threshold.":[86],"In":[87],"this":[88],"method,":[89],"concepts":[93],"partition":[95],"function":[96,100],"(P)":[97],"threshold":[99],"(T).":[101],"Secondly,":[102],"establish":[104],"Similarly,":[110],"concept":[114],"number":[117,123],"residual":[119,125],"neighbors,":[120],"as":[121,135],"neighbors":[126],"size":[129],"data":[131],"clusters":[132],"are":[133,151],"used":[134],"basis":[137],"obtain":[142],"more":[144],"accurate":[145],"set.":[147],"Finally,":[148],"extensive":[149],"experiments":[150],"carried":[152],"out":[153],"variety":[156],"datasets":[158],"experimental":[160],"results":[161],"show":[162],"that":[163],"performs":[166],"well":[167],"terms":[169],"efficiency":[172],"time":[177],"complexity.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
