{"id":"https://openalex.org/W2051290323","doi":"https://doi.org/10.1145/1066677.1066797","title":"Detection and prediction of distance-based outliers","display_name":"Detection and prediction of distance-based outliers","publication_year":2005,"publication_date":"2005-03-13","ids":{"openalex":"https://openalex.org/W2051290323","doi":"https://doi.org/10.1145/1066677.1066797","mag":"2051290323"},"language":"en","primary_location":{"id":"doi:10.1145/1066677.1066797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075369704","display_name":"Fabrizio Angiulli","orcid":"https://orcid.org/0000-0002-9860-7569"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabrizio Angiulli","raw_affiliation_strings":["ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008556153","display_name":"Stefano Basta","orcid":"https://orcid.org/0000-0002-9852-988X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Basta","raw_affiliation_strings":["ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055719679","display_name":"Clara Pizzuti","orcid":"https://orcid.org/0000-0001-7297-7126"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clara Pizzuti","raw_affiliation_strings":["ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAR-CNR, Via Pietro Bucci, Rende (CS), Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"537","last_page":"542"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/outlier","display_name":"Outlier","score":0.6065933704376221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6055906414985657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4354189932346344},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3460078835487366}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6065933704376221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055906414985657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4354189932346344},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3460078835487366}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1066677.1066797","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1066677.1066797","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2005 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W42722137","https://openalex.org/W1517113043","https://openalex.org/W1530232915","https://openalex.org/W1545302662","https://openalex.org/W1552339598","https://openalex.org/W1554085250","https://openalex.org/W1556344493","https://openalex.org/W1963624219","https://openalex.org/W1970655212","https://openalex.org/W2050439513","https://openalex.org/W2061240327","https://openalex.org/W2124536999","https://openalex.org/W2129281431","https://openalex.org/W2140190241","https://openalex.org/W2144182447","https://openalex.org/W2150147654","https://openalex.org/W2150434953","https://openalex.org/W2331052961","https://openalex.org/W4253461361","https://openalex.org/W4254182148","https://openalex.org/W4300528607","https://openalex.org/W6682138790","https://openalex.org/W6986189286"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W3006513224","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,64],"present":[4],"an":[5,52],"unsupervised":[6],"distance-based":[7],"outlier":[8],"detection":[9],"method":[10],"designed":[11],"to":[12,41],"learn":[13],"a":[14,21,31,56],"model":[15],"over":[16],"the":[17,35,69,77,82,91,96],"objects":[18,45,86],"contained":[19],"in":[20],"data":[22,36,98],"set.":[23],"The":[24],"learned":[25],"model,":[26],"called":[27],"solving":[28,57,71,92],"set,":[29,99],"is":[30,39,73,100],"small":[32,74],"subset":[33],"of":[34,84,95],"set":[37,58,72,93],"that":[38,54,68,76],"used":[40],"classify":[42],"new":[43,85],"unseen":[44],"as":[46,88],"outliers":[47,89],"or":[48],"not.":[49],"We":[50],"provide":[51],"algorithm":[53],"computes":[55],"with":[59],"sub-quadratic":[60],"time":[61],"requirements,":[62],"and":[63,75],"give":[65],"experimental":[66],"evidence":[67],"computed":[70],"false":[78],"positive":[79],"rate,":[80],"i.e.":[81],"fraction":[83],"misclassified":[87],"using":[90],"instead":[94],"overall":[97],"negligible.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
