{"id":"https://openalex.org/W4391809220","doi":"https://doi.org/10.1145/3635059.3635067","title":"Team Radiant or Dire? Comparing the SVM and k-NN Classifiers upon a DotA2 Matches Dataset","display_name":"Team Radiant or Dire? Comparing the SVM and k-NN Classifiers upon a DotA2 Matches Dataset","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4391809220","doi":"https://doi.org/10.1145/3635059.3635067"},"language":"en","primary_location":{"id":"doi:10.1145/3635059.3635067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635067","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635067","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073587456","display_name":"Maria Ioanna Maratsi","orcid":"https://orcid.org/0000-0003-4513-6318"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Maria Ioanna Maratsi","raw_affiliation_strings":["University of the Aegean, Greece"],"raw_orcid":"https://orcid.org/0000-0003-4513-6318","affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009276619","display_name":"Charalampos Alexopoulos","orcid":"https://orcid.org/0000-0002-6610-0675"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Charalampos Alexopoulos","raw_affiliation_strings":["University of the Aegean, Greece"],"raw_orcid":"https://orcid.org/0000-0002-6610-0675","affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071518229","display_name":"Yannis Charalabidis","orcid":"https://orcid.org/0000-0003-3760-5495"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Charalabidis","raw_affiliation_strings":["University of the Aegean, Greece"],"raw_orcid":"https://orcid.org/0000-0003-3760-5495","affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98805295"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24055688,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"52"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9988999962806702,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9988999962806702,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9696000218391418,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9695000052452087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7653945684432983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6674673557281494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596323847770691},{"id":"https://openalex.org/keywords/mcnemars-test","display_name":"McNemar's test","score":0.6430086493492126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6104974746704102},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4709150493144989},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4598259925842285},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43188509345054626},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42445671558380127},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4177383482456207},{"id":"https://openalex.org/keywords/minor","display_name":"Minor (academic)","score":0.41013437509536743},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20795735716819763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19151189923286438}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7653945684432983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6674673557281494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596323847770691},{"id":"https://openalex.org/C186282968","wikidata":"https://www.wikidata.org/wiki/Q1434261","display_name":"McNemar's test","level":2,"score":0.6430086493492126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6104974746704102},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4709150493144989},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4598259925842285},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43188509345054626},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42445671558380127},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4177383482456207},{"id":"https://openalex.org/C2779760435","wikidata":"https://www.wikidata.org/wiki/Q5396169","display_name":"Minor (academic)","level":2,"score":0.41013437509536743},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20795735716819763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19151189923286438},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3635059.3635067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635067","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3635059.3635067","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3635059.3635067","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3635059.3635067","source":null,"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324692","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94"},{"id":"https://openalex.org/F4320325669","display_name":"Stockholms Universitet","ror":"https://ror.org/05f0yaq80"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391809220.pdf","grobid_xml":"https://content.openalex.org/works/W4391809220.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2574388714","https://openalex.org/W2588557581","https://openalex.org/W2606436201","https://openalex.org/W2725571670","https://openalex.org/W2757351132","https://openalex.org/W2946222023","https://openalex.org/W2949035820","https://openalex.org/W2951669798"],"related_works":["https://openalex.org/W2496304792","https://openalex.org/W4250308522","https://openalex.org/W2149889956","https://openalex.org/W2467936747","https://openalex.org/W2064023586","https://openalex.org/W3151422078","https://openalex.org/W4232149648","https://openalex.org/W2071606733","https://openalex.org/W4246142630","https://openalex.org/W2486819572"],"abstract_inverted_index":{"Match":[0],"outcome":[1],"prediction":[2],"efforts":[3],"for":[4,53,110],"DotA2":[5,117],"have":[6,24,75],"been":[7,77],"ongoing":[8],"almost":[9],"since":[10],"the":[11,13,40,47,56,82,91,164],"time":[12],"game":[14,121,130],"was":[15],"released,":[16],"in":[17,34,59,69,163,174],"2013.":[18],"A":[19],"considerable":[20],"number":[21],"of":[22,44,73,84,120,134,154,160],"studies":[23],"suggested":[25],"different":[26],"methods":[27],"aiming":[28],"to":[29,39,61,88,103,149],"approach":[30],"this":[31,85,135],"challenging":[32],"topic":[33],"closer":[35],"proximity,":[36],"however,":[37],"due":[38],"complexity":[41],"and":[42,65,79,96,100,129],"plethora":[43],"parameters":[45],"affecting":[46],"result,":[48],"there":[49],"is":[50,87,173],"still":[51],"room":[52],"further":[54],"researching":[55],"algorithmic":[57],"performance":[58,172],"order":[60],"choose":[62],"appropriate":[63],"models":[64],"achieve":[66,150],"higher":[67],"accuracy":[68],"prediction.":[70],"Different":[71],"combinations":[72],"classifiers":[74,99],"already":[76],"introduced":[78],"examined.":[80],"Within":[81],"scope":[83],"paper":[86],"experiment":[89],"with":[90],"Support":[92],"Vector":[93],"Machine":[94],"(SVM)":[95],"k-Nearest":[97],"Neighbors":[98],"apply":[101],"them":[102],"compare":[104],"their":[105,170],"class":[106],"predictive":[107,155,171],"ability":[108],"(victory":[109],"team":[111,125],"Radiant":[112],"or":[113],"Dire)":[114],"on":[115],"a":[116,151,178],"dataset":[118],"consisting":[119],"features,":[122],"among":[123],"others":[124],"selection,":[126],"character":[127],"selection":[128],"mode.":[131],"The":[132],"results":[133],"small-case":[136],"study":[137],"showed":[138],"that":[139,169],"neither":[140],"k-NN":[141],"(for":[142],"various":[143],"k":[144],"values)":[145],"nor":[146],"SVM":[147],"managed":[148],"significant":[152],"level":[153,181],"accuracy.":[156],"In":[157],"addition,":[158],"regardless":[159],"minor":[161],"differences":[162],"results,":[165],"McNemar's":[166],"test":[167],"proved":[168],"fact":[175],"equal,":[176],"given":[177],"set":[179],"significance":[180],"\u03b1.":[182]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
