{"id":"https://openalex.org/W4389041524","doi":"https://doi.org/10.1109/csit61576.2023.10324218","title":"The Chi-square Test and Data Clustering Combined for Author Identification","display_name":"The Chi-square Test and Data Clustering Combined for Author Identification","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4389041524","doi":"https://doi.org/10.1109/csit61576.2023.10324218"},"language":"en","primary_location":{"id":"doi:10.1109/csit61576.2023.10324218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059845907","display_name":"Iryna Khomytska","orcid":"https://orcid.org/0000-0003-3470-7197"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iryna Khomytska","raw_affiliation_strings":["Lviv Polytechnic National University,Applied Linguistics,Lviv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Applied Linguistics,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053274994","display_name":"Iryna Bazylevych","orcid":null},"institutions":[{"id":"https://openalex.org/I200280692","display_name":"Lviv University","ror":"https://ror.org/01s7y5e82","country_code":"UA","type":"education","lineage":["https://openalex.org/I200280692"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iryna Bazylevych","raw_affiliation_strings":["Ivan Franko National University of Lviv,Mathematical Statistics and Differential Equations,Lviv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ivan Franko National University of Lviv,Mathematical Statistics and Differential Equations,Lviv,Ukraine","institution_ids":["https://openalex.org/I200280692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009578309","display_name":"Vasyl Teslyuk","orcid":"https://orcid.org/0000-0002-5974-9310"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Vasyl Teslyuk","raw_affiliation_strings":["Lviv Polytechnic National University,Automated Control Systems,Lviv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Automated Control Systems,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007213886","display_name":"Iryna Karamysheva","orcid":"https://orcid.org/0000-0001-8683-2040"},"institutions":[{"id":"https://openalex.org/I98435010","display_name":"Lviv Polytechnic National University","ror":"https://ror.org/0542q3127","country_code":"UA","type":"education","lineage":["https://openalex.org/I98435010"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iryna Karamysheva","raw_affiliation_strings":["Lviv Polytechnic National University,Applied Linguistics,Lviv,Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lviv Polytechnic National University,Applied Linguistics,Lviv,Ukraine","institution_ids":["https://openalex.org/I98435010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6534,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70162157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.996999979019165,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.996999979019165,"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/T11644","display_name":"Spam and Phishing Detection","score":0.972599983215332,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9609000086784363,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7707945108413696},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5821138620376587},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5679855346679688},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5624675154685974},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5247459411621094},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5161114931106567},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4785795211791992},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47341281175613403},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4295966923236847},{"id":"https://openalex.org/keywords/word-identification","display_name":"Word identification","score":0.4204792082309723},{"id":"https://openalex.org/keywords/chi-square-test","display_name":"Chi-square test","score":0.4127802550792694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3615630865097046},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.330863356590271},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24196365475654602},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.1320190727710724},{"id":"https://openalex.org/keywords/word-recognition","display_name":"Word recognition","score":0.11796429753303528},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08650144934654236}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7707945108413696},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5821138620376587},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5679855346679688},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5624675154685974},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5247459411621094},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5161114931106567},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4785795211791992},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47341281175613403},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4295966923236847},{"id":"https://openalex.org/C2994428975","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word identification","level":4,"score":0.4204792082309723},{"id":"https://openalex.org/C32809988","wikidata":"https://www.wikidata.org/wiki/Q1071004","display_name":"Chi-square test","level":2,"score":0.4127802550792694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3615630865097046},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.330863356590271},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24196365475654602},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.1320190727710724},{"id":"https://openalex.org/C150856459","wikidata":"https://www.wikidata.org/wiki/Q8034367","display_name":"Word recognition","level":3,"score":0.11796429753303528},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08650144934654236},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/csit61576.2023.10324218","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csit61576.2023.10324218","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W627993470","https://openalex.org/W2069871047","https://openalex.org/W2610815847","https://openalex.org/W2611127994","https://openalex.org/W2901104029","https://openalex.org/W3004124599","https://openalex.org/W3041452383","https://openalex.org/W3165668557","https://openalex.org/W4200339151","https://openalex.org/W4200557709","https://openalex.org/W4210678938","https://openalex.org/W4221167129","https://openalex.org/W4293235592","https://openalex.org/W4312546421","https://openalex.org/W4313428180","https://openalex.org/W4319966514","https://openalex.org/W6766487397","https://openalex.org/W6768764718","https://openalex.org/W6963796520"],"related_works":["https://openalex.org/W1992616322","https://openalex.org/W2036873286","https://openalex.org/W4283746496","https://openalex.org/W2408487574","https://openalex.org/W2364032347","https://openalex.org/W438210688","https://openalex.org/W3032649931","https://openalex.org/W2413876267","https://openalex.org/W2949769632","https://openalex.org/W2114272857"],"abstract_inverted_index":{"A":[0],"novel":[1],"approach":[2],"in":[3,32,103,147,166],"this":[4],"research":[5,56,138,161],"is":[6,110,115,127,145],"to":[7],"use":[8,122],"a":[9,12,20],"combination":[10],"of":[11,39,51,107,123,136],"classical":[13],"method":[14],"-":[15,24],"the":[16,70,137,142],"chi-square":[17,43],"test":[18,44,108],"and":[19,36,83,153],"machine":[21],"learning":[22],"technique":[23,126],"data":[25,124],"clustering":[26,125],"for":[27,48,130],"revealing":[28],"statistically":[29,96],"significant":[30],"differences":[31,71],"word":[33,37,118],"length":[34,119],"distribution":[35,38],"authorial":[40,131,143],"styles.":[41],"The":[42,55,98,105,112,121,134,160],"has":[45,57],"been":[46,101],"tested":[47],"differentiating":[49],"texts":[50,74],"different":[52],"historical":[53],"periods.":[54],"proved":[58],"that":[59,141],"at":[60],"0.5;":[61],"0.15;":[62],"0.1;":[63],"0.05;":[64],"0.025;":[65],"0.01;":[66],"0.001":[67],"significance":[68],"levels":[69],"between":[72],"literary":[73,148],"\u201cRobinson":[75],"Crusoe\u201d":[76],"by":[77,87,157],"Daniel":[78],"Defoe":[79],"(XVIII":[80],"th":[81,93],"century)":[82,94],"\u201cMe":[84],"before":[85],"You\u201d":[86],"Pauline":[88],"Sara":[89],"Jo":[90],"Moyes":[91],"(XXI":[92],"are":[95],"significant.":[97],"calculations":[99],"have":[100,139],"done":[102],"Python.":[104],"level":[106],"validity":[109],"95%.":[111],"author":[113],"identification":[114],"based":[116],"on":[117],"distribution.":[120],"also":[128],"efficient":[129],"styles":[132],"identification.":[133],"results":[135],"shown":[140],"style":[144],"similar":[146],"works":[149],"\u201cThe":[150,154],"Furnished":[151],"Room\u201d":[152],"Last":[155],"Leaf\u201d":[156],"0.":[158],"Henry.":[159],"may":[162],"be":[163],"practically":[164],"applied":[165],"judiciary.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
