{"id":"https://openalex.org/W4392121939","doi":"https://doi.org/10.1145/3649477.3649483","title":"Fixed confidence community mode estimation","display_name":"Fixed confidence community mode estimation","publication_year":2024,"publication_date":"2024-02-22","ids":{"openalex":"https://openalex.org/W4392121939","doi":"https://doi.org/10.1145/3649477.3649483"},"language":"en","primary_location":{"id":"doi:10.1145/3649477.3649483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649477.3649483","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-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/A5006274012","display_name":"Meera Pai","orcid":"https://orcid.org/0009-0004-0951-3627"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Meera Pai","raw_affiliation_strings":["IIT Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084509524","display_name":"Nikhil Karamchandani","orcid":"https://orcid.org/0000-0002-7233-0717"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nikhil Karamchandani","raw_affiliation_strings":["IIT Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Bombay","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037150671","display_name":"Jayakrishnan Nair","orcid":"https://orcid.org/0000-0002-3849-8858"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayakrishnan Nair","raw_affiliation_strings":["IIT Bombay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Bombay","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006274012"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0174757,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":"4","first_page":"8","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9776999950408936,"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"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9776999950408936,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9674000144004822,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/estimation","display_name":"Estimation","score":0.6310557723045349},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5015599727630615},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49037981033325195},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.48130834102630615},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3630892038345337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3557888865470886},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3521125912666321},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.20613721013069153}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6310557723045349},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5015599727630615},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49037981033325195},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.48130834102630615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3630892038345337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3557888865470886},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3521125912666321},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.20613721013069153},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3649477.3649483","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649477.3649483","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1760108839","https://openalex.org/W2087734124","https://openalex.org/W2110935968","https://openalex.org/W2159741581","https://openalex.org/W2704180839","https://openalex.org/W2889700003","https://openalex.org/W2911495555","https://openalex.org/W2997761723","https://openalex.org/W3006008293","https://openalex.org/W3034080994","https://openalex.org/W3166620600","https://openalex.org/W3199078655","https://openalex.org/W4232896127","https://openalex.org/W6740025986","https://openalex.org/W6761793610"],"related_works":["https://openalex.org/W2995364151","https://openalex.org/W797163146","https://openalex.org/W1899429405","https://openalex.org/W2401903608","https://openalex.org/W1973036726","https://openalex.org/W4221078923","https://openalex.org/W2066458123","https://openalex.org/W3005777437","https://openalex.org/W1578234703","https://openalex.org/W2084691705"],"abstract_inverted_index":{"There":[0],"are":[1,6,36],"several":[2],"interesting":[3],"applications":[4],"which":[5],"based":[7,38],"on":[8,39],"sequentially":[9],"sampling":[10],"individuals":[11],"from":[12,98],"an":[13],"underlying":[14,78],"population.":[15,100],"Examples":[16],"include":[17],"online":[18],"cardinality":[19],"estimation":[20],"[1-4]":[21],"where":[22,46,56,76],"the":[23,28,32,40,47,57,77,88,93,99],"goal":[24,58,89],"is":[25,59,80,90],"to":[26,60,91],"approximate":[27],"total":[29],"size":[30],"of":[31,42,66],"population":[33,79],"and":[34,70,87],"algorithms":[35],"typically":[37],"counting":[41],"'collisions',":[43],"i.e.,":[44],"instances":[45],"sampled":[48],"individual":[49],"was":[50],"'seen'":[51],"before;":[52],"community":[53,71],"exploration":[54],"[5-7]":[55],"discover":[61],"as":[62,68],"many":[63],"distinct":[64],"entities":[65],"interest":[67],"possible;":[69],"detection":[72],"/":[73,85],"clustering":[74,95],"[8-10]":[75],"naturally":[81],"divided":[82],"into":[83],"communities":[84],"clusters":[86],"estimate":[92],"true":[94],"using":[96],"samples":[97]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
