{"id":"https://openalex.org/W2120457683","doi":"https://doi.org/10.1145/2893184","title":"Practical Algorithms for Finding Extremal Sets","display_name":"Practical Algorithms for Finding Extremal Sets","publication_year":2016,"publication_date":"2016-04-05","ids":{"openalex":"https://openalex.org/W2120457683","doi":"https://doi.org/10.1145/2893184","mag":"2120457683"},"language":"en","primary_location":{"id":"doi:10.1145/2893184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2893184","pdf_url":null,"source":{"id":"https://openalex.org/S201104086","display_name":"ACM Journal of Experimental Algorithmics","issn_l":"1084-6654","issn":["1084-6654"],"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 Journal of Experimental Algorithmics","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/A5085793934","display_name":"Martin Marinov","orcid":"https://orcid.org/0000-0001-5787-3804"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Martin Marinov","raw_affiliation_strings":["Trinity College Dublin, Dublin, Ireland","Trinity college Dublin, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]},{"raw_affiliation_string":"Trinity college Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065566225","display_name":"Nicholas Nash","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicholas Nash","raw_affiliation_strings":["Susquehanna International Group, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Susquehanna International Group, Dublin, Ireland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003800161","display_name":"David Gregg","orcid":"https://orcid.org/0000-0003-3782-4612"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"David Gregg","raw_affiliation_strings":["Lero, Trinity College Dublin, Dublin, Ireland","Lero, Trinity College Dublin, Dublin, Ireland#TAB#"],"affiliations":[{"raw_affiliation_string":"Lero, Trinity College Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]},{"raw_affiliation_string":"Lero, Trinity College Dublin, Dublin, Ireland#TAB#","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5085793934"],"corresponding_institution_ids":["https://openalex.org/I205274468"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76913196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"21","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9970999956130981,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9970999956130981,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9909999966621399,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9818999767303467,"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/computer-science","display_name":"Computer science","score":0.8074022531509399},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6835143566131592},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5938761234283447},{"id":"https://openalex.org/keywords/memoization","display_name":"Memoization","score":0.5923750996589661},{"id":"https://openalex.org/keywords/graphics-processing-unit","display_name":"Graphics processing unit","score":0.5316436886787415},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4930739104747772},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4926643967628479},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4661833941936493},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.46581128239631653},{"id":"https://openalex.org/keywords/cuda","display_name":"CUDA","score":0.44595152139663696},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4353674054145813},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09879675507545471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8074022531509399},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6835143566131592},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5938761234283447},{"id":"https://openalex.org/C79516417","wikidata":"https://www.wikidata.org/wiki/Q1376168","display_name":"Memoization","level":4,"score":0.5923750996589661},{"id":"https://openalex.org/C2779851693","wikidata":"https://www.wikidata.org/wiki/Q183484","display_name":"Graphics processing unit","level":2,"score":0.5316436886787415},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4930739104747772},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4926643967628479},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4661833941936493},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.46581128239631653},{"id":"https://openalex.org/C2778119891","wikidata":"https://www.wikidata.org/wiki/Q477690","display_name":"CUDA","level":2,"score":0.44595152139663696},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4353674054145813},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09879675507545471},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C42560504","wikidata":"https://www.wikidata.org/wiki/Q15419395","display_name":"Top-down parsing","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2893184","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2893184","pdf_url":null,"source":{"id":"https://openalex.org/S201104086","display_name":"ACM Journal of Experimental Algorithmics","issn_l":"1084-6654","issn":["1084-6654"],"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 Journal of Experimental Algorithmics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1726079515","https://openalex.org/W1950282396","https://openalex.org/W2006606301","https://openalex.org/W2035532835","https://openalex.org/W2037973882","https://openalex.org/W2066293511","https://openalex.org/W2070102725","https://openalex.org/W2074104866","https://openalex.org/W2115607591","https://openalex.org/W2139206926","https://openalex.org/W2295664416","https://openalex.org/W2345456657"],"related_works":["https://openalex.org/W2983282793","https://openalex.org/W2020279179","https://openalex.org/W2503137108","https://openalex.org/W2119534391","https://openalex.org/W1966576946","https://openalex.org/W2023770367","https://openalex.org/W2062253548","https://openalex.org/W2393490604","https://openalex.org/W2393707426","https://openalex.org/W2146871484"],"abstract_inverted_index":{"The":[0,84],"minimal":[1],"sets":[2,7,26,42],"within":[3,20,37],"a":[4,17,34,44,48,110,147,202],"collection":[5],"of":[6,51,70,94,98,112,132,156,201],"are":[8,27],"defined":[9],"as":[10,153,210,212],"the":[11,21,24,28,38,71,91,95,99,113,126,154,157,213],"ones":[12,29],"that":[13,30,137,150,190],"do":[14,31],"not":[15,32,143],"have":[16,33],"proper":[18,35],"subset":[19,111],"collection,":[22],"and":[23,58,82,149,172,175],"maximal":[25],"superset":[36],"collection.":[39],"Identifying":[40],"extremal":[41,73],"is":[43,142],"fundamental":[45],"problem":[46],"with":[47],"wide":[49],"range":[50],"applications":[52],"in":[53,160],"SAT":[54],"solvers,":[55],"data":[56],"mining,":[57],"social":[59],"network":[60],"analysis.":[61],"In":[62,109],"this":[63],"article,":[64],"we":[65,135],"present":[66],"two":[67],"novel":[68],"improvements":[69],"high-quality":[72],"set":[74],"identification":[75],"algorithm,":[76],"AMS-Lex":[77,182],",":[78],"described":[79],"by":[80,146,183],"Bayardo":[81],"Panda.":[83],"first":[85],"technique":[86],"uses":[87,105],"memoization":[88],"to":[89,185],"improve":[90],"execution":[92],"time":[93],"single-threaded":[96],"variant":[97,179],"AMS-Lex,":[100],"while":[101],"our":[102,116,138,177,205],"second":[103],"improvement":[104],"parallel":[106,215],"programming":[107],"methods.":[108],"presented":[114],"experiments,":[115],"memoized":[117],"algorithm":[118,180],"executes":[119,208],"more":[120],"than":[121,125],"400":[122],"times":[123],"faster":[124],"highly":[127],"efficient":[128],"publicly":[129],"available":[130],"implementation":[131],"AMS-Lex.":[133],"Moreover,":[134],"show":[136,176],"modified":[139],"algorithm's":[140],"speedup":[141],"bounded":[144],"above":[145],"constant":[148],"it":[151],"increases":[152],"length":[155],"common":[158],"prefixes":[159],"successive":[161],"input":[162,193],"itemsets":[163],"increases.":[164],"We":[165,188],"provide":[166],"experimental":[167],"results":[168],"using":[169,197,218],"both":[170],"real-world":[171],"synthetic":[173,192],"datasets,":[174,194],"multithreaded":[178,206],"outperforming":[181],"3":[184],"6":[186],"times.":[187],"find":[189],"on":[191],"when":[195],"executed":[196],"16":[198],"CPU":[199],"cores":[200],"32-core":[203],"machine,":[204],"program":[207,217],"about":[209],"fast":[211],"state-of-the-art":[214],"GPU-based":[216],"an":[219],"NVIDIA":[220],"GTX":[221],"580":[222],"graphics":[223],"processing":[224],"unit.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
