{"id":"https://openalex.org/W4414284080","doi":"https://doi.org/10.3390/info16090807","title":"A Multi-Angle Semantic Feature Fusion Method for Web User Behavior Anomaly Detection","display_name":"A Multi-Angle Semantic Feature Fusion Method for Web User Behavior Anomaly Detection","publication_year":2025,"publication_date":"2025-09-17","ids":{"openalex":"https://openalex.org/W4414284080","doi":"https://doi.org/10.3390/info16090807"},"language":"en","primary_location":{"id":"doi:10.3390/info16090807","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090807","pdf_url":"https://www.mdpi.com/2078-2489/16/9/807/pdf?version=1758108653","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/16/9/807/pdf?version=1758108653","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100336119","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-8686-6627"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137180","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China","institution_ids":["https://openalex.org/I4210107785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101354258","display_name":"Mingshan Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingshan Xia","raw_affiliation_strings":["Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137180","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China","institution_ids":["https://openalex.org/I4210107785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009587392","display_name":"Yakang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yakang Li","raw_affiliation_strings":["Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137180","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China","institution_ids":["https://openalex.org/I4210107785"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119463494","display_name":"Jiahong Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097143","display_name":"Tianjin Research Institute of Electric Science (China)","ror":"https://ror.org/010ryc044","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210097143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahong Xu","raw_affiliation_strings":["State Grid Tianjin Electric Power Company Dongli Power Supply Branch, Tianjin 300300, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Tianjin Electric Power Company Dongli Power Supply Branch, Tianjin 300300, China","institution_ids":["https://openalex.org/I4210097143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010085433","display_name":"Hou Feng-Yao","orcid":"https://orcid.org/0000-0003-4771-6631"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyao Hou","raw_affiliation_strings":["Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China"],"raw_orcid":"https://orcid.org/0000-0003-4771-6631","affiliations":[{"raw_affiliation_string":"Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137180","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China","institution_ids":["https://openalex.org/I4210107785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101198774","display_name":"Fazhi Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fazhi Qi","raw_affiliation_strings":["Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210137180","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Spallation Neutron Source Science Center (SNSSC), Dongguan 523803, China","institution_ids":["https://openalex.org/I4210107785"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101198774","https://openalex.org/A5101354258"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26121994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":"9","first_page":"807","last_page":"807"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9994999766349792,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5674999952316284},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5270000100135803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44359999895095825},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4194999933242798},{"id":"https://openalex.org/keywords/semantic-feature","display_name":"Semantic feature","score":0.38600000739097595},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.3840000033378601},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.37389999628067017},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3637000024318695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888000011444092},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5674999952316284},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5270000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4771000146865845},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45010000467300415},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44359999895095825},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4194999933242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4180000126361847},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.38600000739097595},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.3840000033378601},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.37389999628067017},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3637000024318695},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.36039999127388},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2919999957084656},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C511149849","wikidata":"https://www.wikidata.org/wiki/Q7449051","display_name":"Semantic computing","level":3,"score":0.27880001068115234},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2786000072956085},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2741999924182892},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.27390000224113464},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.25600001215934753},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/info16090807","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090807","pdf_url":"https://www.mdpi.com/2078-2489/16/9/807/pdf?version=1758108653","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d15d260abdd7472c9a7bec017a29efe5","is_oa":true,"landing_page_url":"https://doaj.org/article/d15d260abdd7472c9a7bec017a29efe5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 16, Iss 9, p 807 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/info16090807","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info16090807","pdf_url":"https://www.mdpi.com/2078-2489/16/9/807/pdf?version=1758108653","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1253887962","display_name":null,"funder_award_id":"12105303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7676289887","display_name":null,"funder_award_id":"12505226","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414284080.pdf","grobid_xml":"https://content.openalex.org/works/W4414284080.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2038571043","https://openalex.org/W2049231530","https://openalex.org/W2081395750","https://openalex.org/W2095023281","https://openalex.org/W2110523863","https://openalex.org/W2582610994","https://openalex.org/W2621973044","https://openalex.org/W2803131667","https://openalex.org/W2807024897","https://openalex.org/W2903010997","https://openalex.org/W2903893305","https://openalex.org/W2949320318","https://openalex.org/W2967957126","https://openalex.org/W2999229518","https://openalex.org/W3098596104","https://openalex.org/W3111484665","https://openalex.org/W3191223407","https://openalex.org/W4206445874","https://openalex.org/W4210601982","https://openalex.org/W4238602449","https://openalex.org/W4253289766","https://openalex.org/W4386025128","https://openalex.org/W4389543383","https://openalex.org/W4401164398","https://openalex.org/W4410226957"],"related_works":[],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,12,54,77,121,141,163,165],"increasing":[3],"complexity":[4],"of":[5,14,113,143],"web":[6],"user":[7,40,49,59,82,95,114,138],"behavior":[8,41,57,115],"anomaly":[9,42,137],"detection":[10,112,130,170],"and":[11,61,107,127,149],"issue":[13],"missing":[15],"semantic":[16,35,78,92,108],"information":[17],"caused":[18],"by":[19,52],"relying":[20],"solely":[21],"on":[22,48],"features":[23,68],"like":[24],"request":[25,28],"semantics":[26],"or":[27],"sequences,":[29],"this":[30],"study":[31],"proposes":[32],"a":[33,84],"multi-angle":[34],"feature":[36],"fusion":[37],"approach":[38],"for":[39],"detection.":[43],"The":[44],"research":[45],"is":[46,88,102],"based":[47],"sessions.":[50],"Firstly,":[51],"analyzing":[53],"access":[55],"sequence":[56,67,106],"within":[58],"sessions":[60,145,159],"utilizing":[62],"an":[63,99],"improved":[64],"SimHash":[65],"algorithm,":[66],"are":[69,160],"extracted":[70],"to":[71,90,104],"model":[72,87,101,123,166],"browsing":[73],"patterns.":[74],"Secondly,":[75],"combining":[76],"content":[79],"contained":[80],"in":[81,129,135,162],"sessions,":[83],"multi-attention":[85],"Transformer":[86],"employed":[89],"extract":[91],"features,":[93,109],"representing":[94],"visit":[96],"semantics.":[97],"Finally,":[98],"end-to-end":[100],"constructed":[103],"fuse":[105],"enabling":[110],"effective":[111],"anomalies.":[116],"Experimental":[117],"results":[118],"demonstrate":[119],"that":[120],"proposed":[122],"exhibits":[124],"excellent":[125],"performance":[126],"stability":[128],"accuracy,":[131],"with":[132],"significant":[133],"effects":[134],"real-world":[136],"identification.":[139],"As":[140],"proportion":[142],"anomalous":[144,158],"increases,":[146],"precision,":[147],"recall,":[148],"F1-score":[150],"also":[151],"improve,":[152],"all":[153],"reaching":[154],"99%.":[155],"Even":[156],"when":[157],"scarce":[161],"dataset,":[164],"still":[167],"achieves":[168],"satisfactory":[169],"results.":[171]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
