{"id":"https://openalex.org/W3040657692","doi":"https://doi.org/10.3233/jifs-179965","title":"Optimization of parallel random forest algorithm based on distance weight","display_name":"Optimization of parallel random forest algorithm based on distance weight","publication_year":2020,"publication_date":"2020-07-06","ids":{"openalex":"https://openalex.org/W3040657692","doi":"https://doi.org/10.3233/jifs-179965","mag":"3040657692"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179965","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179965","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5014894332","display_name":"Qinge Wang","orcid":"https://orcid.org/0000-0003-1572-2260"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinge Wang","raw_affiliation_strings":["School of Civil Engineering, Central South University, Chang\u2019sha, China","School of Civil Engineering, Central South University, Chang'sha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Central South University, Chang\u2019sha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Civil Engineering, Central South University, Chang'sha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102889435","display_name":"Huihua Chen","orcid":"https://orcid.org/0000-0002-1159-1999"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huihua Chen","raw_affiliation_strings":["School of Civil Engineering, Central South University, Chang\u2019sha, China","School of Civil Engineering, Central South University, Chang'sha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Civil Engineering, Central South University, Chang\u2019sha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Civil Engineering, Central South University, Chang'sha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102889435"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":1.1734,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83527135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"39","issue":"2","first_page":"1951","last_page":"1963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.916100025177002,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.916100025177002,"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/T13567","display_name":"AI and Multimedia in Education","score":0.9010000228881836,"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":0.6860215663909912},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6788529753684998},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5979382991790771},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5503885746002197},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5215404033660889},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.48361435532569885},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.4580155909061432},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4472339451313019},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44102802872657776},{"id":"https://openalex.org/keywords/random-tree","display_name":"Random tree","score":0.4313582181930542},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.41963517665863037},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2813117504119873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23569148778915405},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17588505148887634},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.10578352212905884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6860215663909912},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6788529753684998},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5979382991790771},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5503885746002197},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5215404033660889},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.48361435532569885},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.4580155909061432},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4472339451313019},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44102802872657776},{"id":"https://openalex.org/C2776839635","wikidata":"https://www.wikidata.org/wiki/Q14942679","display_name":"Random tree","level":4,"score":0.4313582181930542},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.41963517665863037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2813117504119873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23569148778915405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17588505148887634},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.10578352212905884},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179965","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179965","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2500367737","https://openalex.org/W2555003865","https://openalex.org/W2564048406","https://openalex.org/W2569439418","https://openalex.org/W2589780155","https://openalex.org/W2600250093","https://openalex.org/W2622506694","https://openalex.org/W2737103927","https://openalex.org/W2761181345","https://openalex.org/W2780364439","https://openalex.org/W2783096881","https://openalex.org/W2790004940","https://openalex.org/W2792337110","https://openalex.org/W2800206746","https://openalex.org/W2807554198","https://openalex.org/W2930389570","https://openalex.org/W3025831949"],"related_works":["https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3193043704","https://openalex.org/W3171520305","https://openalex.org/W1924178503","https://openalex.org/W2045183646","https://openalex.org/W1472067","https://openalex.org/W2073773369","https://openalex.org/W4387314690","https://openalex.org/W2652414671"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,40,78,82],"overcome":[3],"the":[4,42,45,52,61,91,100,104,115,119,136,140,148,152],"problems":[5,149],"of":[6,13,35,90,103,118,139],"long":[7],"execution":[8,116],"time":[9,117],"and":[10,98,135],"low":[11],"parallelism":[12],"existing":[14,150],"parallel":[15,23,120],"random":[16,24,57,85,105,121,154],"forest":[17,25,106,122,155],"algorithms,":[18],"an":[19],"optimization":[20,102,125],"method":[21],"for":[22],"algorithm":[26,123,141],"based":[27],"on":[28,60],"distance":[29,36,88],"weights":[30,37,89],"is":[31,38,68,74,108,126,142],"proposed.":[32],"The":[33,70,87,110],"concept":[34],"introduced":[39],"optimize":[41],"algorithm.":[43,156],"Firstly,":[44],"training":[46,92],"sample":[47,93],"data":[48,54,94],"are":[49,96],"extracted":[50,62],"from":[51],"original":[53],"set":[55,95],"by":[56],"selection.":[58],"Based":[59],"results,":[63],"a":[64,84],"single":[65,71],"decision":[66,72],"tree":[67,73],"constructed.":[69],"grouped":[75],"together":[76],"according":[77],"different":[79],"grouping":[80],"methods":[81],"form":[83],"forest.":[86],"calculated,":[97],"then":[99],"weighted":[101],"model":[107],"realized.":[109],"experimental":[111],"results":[112],"show":[113],"that":[114,132],"after":[124],"110":[127],"000":[128],"ms":[129],"less":[130],"than":[131],"before":[133],"optimization,":[134],"operation":[137],"efficiency":[138],"greatly":[143],"improved,":[144],"which":[145],"effectively":[146],"solves":[147],"in":[151],"traditional":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
