{"id":"https://openalex.org/W4213156298","doi":"https://doi.org/10.1145/3488560.3498485","title":"k-Clustering with Fair Outliers","display_name":"k-Clustering with Fair Outliers","publication_year":2022,"publication_date":"2022-02-11","ids":{"openalex":"https://openalex.org/W4213156298","doi":"https://doi.org/10.1145/3488560.3498485"},"language":"en","primary_location":{"id":"doi:10.1145/3488560.3498485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498485","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498485","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015851488","display_name":"Matteo Almanza","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Almanza","raw_affiliation_strings":["Sapienza University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037972828","display_name":"Alessandro Epasto","orcid":"https://orcid.org/0000-0003-0456-3217"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alessandro Epasto","raw_affiliation_strings":["Google Research, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Google Research, New York, NY, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063633119","display_name":"Alessandro Panconesi","orcid":"https://orcid.org/0000-0002-2169-3067"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandro Panconesi","raw_affiliation_strings":["Sapienza University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029827961","display_name":"Giuseppe Del Re","orcid":"https://orcid.org/0000-0002-7352-701X"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Re","raw_affiliation_strings":["Sapienza University, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza University, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015851488"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":0.7304,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69576047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980999827384949,"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":0.9980999827384949,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8948400020599365},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.8845319151878357},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.6660836935043335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6483446359634399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5327180624008179},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5061890482902527},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5005667209625244},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4958404004573822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4049467444419861},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34151196479797363}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8948400020599365},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8845319151878357},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.6660836935043335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6483446359634399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5327180624008179},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5061890482902527},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5005667209625244},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4958404004573822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4049467444419861},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34151196479797363}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3488560.3498485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498485","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1612882","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1612882","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.1145/3488560.3498485","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3488560.3498485","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3488560.3498485","source":{"id":"https://openalex.org/S4363608885","display_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3006576871","display_name":null,"funder_award_id":"2018-2022","funder_id":"https://openalex.org/F4320317295","funder_display_name":"Dipartimenti di Eccellenza"},{"id":"https://openalex.org/G3524703739","display_name":null,"funder_award_id":"18-2022","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G4421848906","display_name":null,"funder_award_id":"2017K7XPAN","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"},{"id":"https://openalex.org/G4696829584","display_name":null,"funder_award_id":"Focused Research Award","funder_id":"https://openalex.org/F4320309327","funder_display_name":"Google"},{"id":"https://openalex.org/G4956079712","display_name":null,"funder_award_id":"2018-2022","funder_id":"https://openalex.org/F4320321873","funder_display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca"}],"funders":[{"id":"https://openalex.org/F4320309327","display_name":"Google","ror":"https://ror.org/00njsd438"},{"id":"https://openalex.org/F4320317295","display_name":"Dipartimenti di Eccellenza","ror":null},{"id":"https://openalex.org/F4320321873","display_name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","ror":"https://ror.org/0166hxq48"},{"id":"https://openalex.org/F4320337140","display_name":"Dipartimento di Informatica, Sapienza Universit\u00e0 di Roma","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213156298.pdf","grobid_xml":"https://content.openalex.org/works/W4213156298.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W596522316","https://openalex.org/W1530581016","https://openalex.org/W1985572324","https://openalex.org/W1987598120","https://openalex.org/W2003719999","https://openalex.org/W2014352947","https://openalex.org/W2097921974","https://openalex.org/W2100960835","https://openalex.org/W2130486630","https://openalex.org/W2133296809","https://openalex.org/W2148092222","https://openalex.org/W2199495299","https://openalex.org/W2343942810","https://openalex.org/W2530395818","https://openalex.org/W2605029335","https://openalex.org/W2788241675","https://openalex.org/W2788937720","https://openalex.org/W2799065878","https://openalex.org/W2809174576","https://openalex.org/W2912887944","https://openalex.org/W2947657760","https://openalex.org/W2951891729","https://openalex.org/W3016280884","https://openalex.org/W3099749895","https://openalex.org/W3104789887","https://openalex.org/W3105610736","https://openalex.org/W3135038576","https://openalex.org/W3135775603","https://openalex.org/W4205585032","https://openalex.org/W4312663109","https://openalex.org/W4320932303","https://openalex.org/W4386564360","https://openalex.org/W6728551298","https://openalex.org/W6735794107","https://openalex.org/W6765646913"],"related_works":["https://openalex.org/W3022637481","https://openalex.org/W3144143113","https://openalex.org/W3120229345","https://openalex.org/W1999117613","https://openalex.org/W2393816671","https://openalex.org/W3039964395","https://openalex.org/W2954170735","https://openalex.org/W2607902515","https://openalex.org/W2040929534","https://openalex.org/W3168768270"],"abstract_inverted_index":{"Clustering":[0],"problems":[1,39],"and":[2,28],"clustering":[3,38],"algorithms":[4,35,47],"are":[5],"often":[6],"overly":[7],"sensitive":[8],"to":[9],"the":[10,22,25,56,74],"presence":[11],"of":[12,17,24,66],"outliers:":[13],"even":[14],"a":[15],"handful":[16],"points":[18,50,68],"can":[19,61],"greatly":[20],"affect":[21],"structure":[23],"optimal":[26],"solution":[27],"its":[29],"cost.":[30],"This":[31],"is":[32],"why":[33],"many":[34],"for":[36],"robust":[37],"have":[40],"been":[41],"formulated":[42],"in":[43],"recent":[44],"years.":[45],"These":[46],"discard":[48],"some":[49,64],"as":[51],"outliers,":[52],"excluding":[53],"them":[54],"from":[55],"clustering.":[57],"However,":[58],"outlier":[59,75],"selection":[60],"be":[62,70],"unfair:":[63],"categories":[65],"input":[67],"may":[69],"disproportionately":[71],"affected":[72],"by":[73],"removal":[76],"algorithm.":[77]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}