{"id":"https://openalex.org/W2915373618","doi":"https://doi.org/10.1109/isspit.2018.8642742","title":"Applying Game Theoretic Techniques to Improve the Accuracy of Tree-based Classification Results","display_name":"Applying Game Theoretic Techniques to Improve the Accuracy of Tree-based Classification Results","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2915373618","doi":"https://doi.org/10.1109/isspit.2018.8642742","mag":"2915373618"},"language":"en","primary_location":{"id":"doi:10.1109/isspit.2018.8642742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2018.8642742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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/A5007104884","display_name":"Carol Jim","orcid":null},"institutions":[{"id":"https://openalex.org/I87552059","display_name":"Hood College","ror":"https://ror.org/04e6ngf61","country_code":"US","type":"education","lineage":["https://openalex.org/I87552059"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carol Jim","raw_affiliation_strings":["Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA","institution_ids":["https://openalex.org/I87552059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080245391","display_name":"G. Dimitoglou","orcid":"https://orcid.org/0000-0003-2672-3787"},"institutions":[{"id":"https://openalex.org/I87552059","display_name":"Hood College","ror":"https://ror.org/04e6ngf61","country_code":"US","type":"education","lineage":["https://openalex.org/I87552059"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George Dimitoglou","raw_affiliation_strings":["Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA","institution_ids":["https://openalex.org/I87552059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103045221","display_name":"Ahmed Salem","orcid":"https://orcid.org/0000-0002-0456-2276"},"institutions":[{"id":"https://openalex.org/I87552059","display_name":"Hood College","ror":"https://ror.org/04e6ngf61","country_code":"US","type":"education","lineage":["https://openalex.org/I87552059"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmed Salem","raw_affiliation_strings":["Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Technology, Hood College, Frederick, MD, USA","institution_ids":["https://openalex.org/I87552059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87552059"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35753425,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"314","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9955999851226807,"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/T10127","display_name":"Banking stability, regulation, efficiency","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7556498646736145},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6621750593185425},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.6163431406021118},{"id":"https://openalex.org/keywords/loan","display_name":"Loan","score":0.5812603831291199},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5803762078285217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5254458785057068},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5010502338409424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4673585891723633},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.12474334239959717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11709287762641907}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7556498646736145},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6621750593185425},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.6163431406021118},{"id":"https://openalex.org/C2777764128","wikidata":"https://www.wikidata.org/wiki/Q189539","display_name":"Loan","level":2,"score":0.5812603831291199},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5803762078285217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5254458785057068},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5010502338409424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4673585891723633},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.12474334239959717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11709287762641907},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isspit.2018.8642742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isspit.2018.8642742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)","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":16,"referenced_works":["https://openalex.org/W1492620359","https://openalex.org/W2014083646","https://openalex.org/W2014704074","https://openalex.org/W2035774439","https://openalex.org/W2063010599","https://openalex.org/W2064838404","https://openalex.org/W2103780778","https://openalex.org/W2116497767","https://openalex.org/W2126197365","https://openalex.org/W2140278815","https://openalex.org/W2148660237","https://openalex.org/W2168180493","https://openalex.org/W2201507937","https://openalex.org/W4234026130","https://openalex.org/W4387722748","https://openalex.org/W6857270681"],"related_works":["https://openalex.org/W2133573885","https://openalex.org/W50834308","https://openalex.org/W2040084813","https://openalex.org/W2091367592","https://openalex.org/W4239546338","https://openalex.org/W2122898738","https://openalex.org/W2114395913","https://openalex.org/W4384470695","https://openalex.org/W3134840015","https://openalex.org/W4366979180"],"abstract_inverted_index":{"The":[0],"application":[1],"of":[2],"game-theoretic":[3,43,86],"techniques":[4,87],"to":[5,26,48,68],"enhance":[6,101],"data":[7,40,89],"mining":[8,41,90],"results":[9,18,82,91],"in":[10,92],"financial":[11],"applications":[12,59],"has":[13],"been":[14,20],"widely":[15],"explored.":[16],"While":[17],"have":[19],"promising,":[21],"further":[22],"investigation":[23],"is":[24,46],"needed":[25],"generate":[27],"a":[28,38,93],"more":[29],"robust":[30],"model":[31,45,95],"and":[32,42,52,57,77,100],"minimize":[33],"errors.":[34],"In":[35],"this":[36],"work,":[37],"two-step,":[39],"analysis":[44],"examined":[47],"reduce":[49,69],"classification":[50,70],"error":[51],"improve":[53,97],"predictions.":[54],"Using":[55],"credit-worthiness":[56],"loan":[58],"from":[60],"the":[61],"German":[62],"Credit":[63],"dataset,":[64],"we":[65],"are":[66],"able":[67],"errors":[71],"using":[72],"payoff":[73],"tables,":[74],"game":[75],"trees,":[76],"associated":[78],"binomial":[79],"distributions.":[80],"Our":[81],"show":[83],"that":[84],"applying":[85],"after":[88],"combined":[94],"can":[96],"overall":[98],"accuracy":[99],"decision":[102],"accuracy.":[103]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}