{"id":"https://openalex.org/W4312749655","doi":"https://doi.org/10.1109/tkde.2022.3222447","title":"GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection","display_name":"GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection","publication_year":2022,"publication_date":"2022-11-16","ids":{"openalex":"https://openalex.org/W4312749655","doi":"https://doi.org/10.1109/tkde.2022.3222447"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2022.3222447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3222447","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5060987351","display_name":"Shuyin Xia","orcid":"https://orcid.org/0000-0001-5993-9563"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuyin Xia","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035254232","display_name":"Shulin Wu","orcid":"https://orcid.org/0000-0001-8276-7974"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Wu","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029939473","display_name":"Xinxing Chen","orcid":"https://orcid.org/0000-0002-6265-1226"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxing Chen","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031220156","display_name":"Guoyin Wang","orcid":"https://orcid.org/0000-0002-8521-5232"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyin Wang","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101785348","display_name":"Xinbo Gao","orcid":"https://orcid.org/0000-0003-1443-0776"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinbo Gao","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055297909","display_name":"Qinghua Zhang","orcid":"https://orcid.org/0000-0002-6154-4656"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinghua Zhang","raw_affiliation_strings":["Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Telecommunications and Posts, Chongqing, China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010372747","display_name":"Elisabeth Giem","orcid":"https://orcid.org/0009-0004-3384-6843"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisabeth Giem","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061737717","display_name":"Zizhong Chen","orcid":"https://orcid.org/0000-0003-2578-4940"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zizhong Chen","raw_affiliation_strings":["Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of California at Riverside, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5060987351"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":4.3738,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.95217819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"35","issue":"9","first_page":"9281","last_page":"9294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9452000260353088,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/euclidean-distance","display_name":"Euclidean distance","score":0.6896241307258606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6344519853591919},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5594016909599304},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5284430980682373},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5165601968765259},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.476096510887146},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.45988568663597107},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.45126181840896606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4496029019355774},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43539929389953613},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42328202724456787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41349542140960693},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.41149765253067017},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3818652033805847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32846778631210327},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11945033073425293}],"concepts":[{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6896241307258606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6344519853591919},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5594016909599304},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5284430980682373},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5165601968765259},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.476096510887146},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.45988568663597107},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.45126181840896606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4496029019355774},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43539929389953613},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42328202724456787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41349542140960693},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.41149765253067017},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3818652033805847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32846778631210327},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11945033073425293},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2022.3222447","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2022.3222447","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.6000000238418579,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4807448308","display_name":null,"funder_award_id":"HZ2021008","funder_id":"https://openalex.org/F4320324805","funder_display_name":"Chongqing Municipal Education Commission"},{"id":"https://openalex.org/G4996436466","display_name":null,"funder_award_id":"62222601","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6161333088","display_name":null,"funder_award_id":"62176033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7029320859","display_name":null,"funder_award_id":"cstc2019jcyj-cxttX0002","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G8007972432","display_name":null,"funder_award_id":"61936001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324805","display_name":"Chongqing Municipal Education Commission","ror":"https://ror.org/031nm5713"},{"id":"https://openalex.org/F4320335353","display_name":"National Science Foundation of Sri Lanka","ror":"https://ror.org/010xaa060"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1584845053","https://openalex.org/W1673021977","https://openalex.org/W1685464609","https://openalex.org/W1749992802","https://openalex.org/W1980192357","https://openalex.org/W1997362234","https://openalex.org/W2000409585","https://openalex.org/W2016929372","https://openalex.org/W2027654459","https://openalex.org/W2046211408","https://openalex.org/W2068992789","https://openalex.org/W2092044939","https://openalex.org/W2092845575","https://openalex.org/W2142246398","https://openalex.org/W2143426320","https://openalex.org/W2149620660","https://openalex.org/W2153098502","https://openalex.org/W2158407140","https://openalex.org/W2170341854","https://openalex.org/W2256782633","https://openalex.org/W2292553612","https://openalex.org/W2313866064","https://openalex.org/W2348410644","https://openalex.org/W2359452099","https://openalex.org/W2383437370","https://openalex.org/W2416404380","https://openalex.org/W2595951082","https://openalex.org/W2608932868","https://openalex.org/W2753823607","https://openalex.org/W2787616250","https://openalex.org/W2788471974","https://openalex.org/W2791178145","https://openalex.org/W2792224072","https://openalex.org/W2795686572","https://openalex.org/W2898230917","https://openalex.org/W2899356345","https://openalex.org/W2900763954","https://openalex.org/W2940009787","https://openalex.org/W2945230547","https://openalex.org/W2959482287","https://openalex.org/W2962755847","https://openalex.org/W3005482717","https://openalex.org/W3006982367","https://openalex.org/W3025327496","https://openalex.org/W3029713334","https://openalex.org/W3034712888","https://openalex.org/W3036852947","https://openalex.org/W3102942031","https://openalex.org/W3105116188","https://openalex.org/W3159359277","https://openalex.org/W4211007335","https://openalex.org/W4249247926","https://openalex.org/W4255833381","https://openalex.org/W6637461618","https://openalex.org/W6637938255","https://openalex.org/W6681822384","https://openalex.org/W6736840501","https://openalex.org/W6786028957"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2167403502","https://openalex.org/W2353240132","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W4231537015","https://openalex.org/W2020613036","https://openalex.org/W2137791473"],"abstract_inverted_index":{"Feature":[0],"selection":[1,27],"is":[2,19,60],"an":[3,201],"important":[4],"preprocessing":[5],"step":[6],"in":[7,54,85,142,147],"data":[8],"mining":[9],"and":[10,79,94,105,120,128,172],"pattern":[11],"recognition.":[12],"The":[13],"neighborhood":[14,83,112],"rough":[15,22,134],"set":[16,23],"(NRS)":[17],"model":[18,24],"a":[20,39,102],"widely-used":[21],"for":[25,62,110],"feature":[26],"on":[28,38,157],"continuous":[29],"data.":[30],"All":[31,195],"currently":[32],"known":[33],"NRS":[34,52,178,185,192],"models":[35,53],"are":[36],"defined":[37],"distance":[40,46,59,103],"metric":[41,47,104],"\u2014":[42,48],"mostly":[43],"the":[44,51,57,72,82,90,99,107,111,118,126,132,152,183,190],"euclidean":[45,58],"which":[49,97],"invalidates":[50],"scenarios":[55],"wherein":[56],"ineffective,":[61],"example,":[63],"while":[64],"considering":[65],"differing":[66],"attribute":[67],"weights.":[68],"We":[69],"first":[70],"introduce":[71],"concept":[73],"of":[74,77,101,122,131,145],"space":[75,109],"division":[76],"granular-rectangular,":[78],"then":[80],"construct":[81],"radius":[84],"our":[86,163],"method":[87],"by":[88],"describing":[89],"relationship":[91],"between":[92],"child":[93],"parent":[95],"spaces,":[96],"avoids":[98],"use":[100],"reduces":[106],"search":[108],"radius.":[113],"This":[114],"greatly":[115],"improves":[116],"both":[117],"accuracy":[119,168],"efficiency":[121],"NRS.":[123,154],"In":[124],"addition,":[125],"upper":[127],"lower":[129],"approximations":[130],"granular-rectangular":[133],"sets":[135],"(GRRSs)":[136],"comprise":[137],"equivalence":[138],"classes;":[139],"this":[140],"results":[141,156],"better":[143],"performance":[144],"GRRS":[146,181],"knowledge":[148],"representation":[149],"compared":[150],"with":[151],"traditional":[153],"Experimental":[155],"public":[158],"benchmark":[159],"datasets":[160],"reveal":[161],"that":[162],"method,":[164],"GRRS,":[165],"achieves":[166],"higher":[167],"than":[169],"ten":[170],"popular":[171],"state-of-the-art":[173,191],"feature-selection":[174],"methods,":[175],"including":[176,189],"two":[177],"algorithms.":[179],"Moreover,":[180],"outperforms":[182],"established":[184],"algorithms":[186],"regarding":[187],"efficiency,":[188],"algorithm,":[193],"GBNRS.":[194],"code":[196],"has":[197],"been":[198],"released":[199],"as":[200],"open":[202],"libary":[203],"called":[204],"GRRS:":[205],"<uri":[206],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[207],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/syxiaa/GRRS</uri>":[208],".":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}