{"id":"https://openalex.org/W4313459392","doi":"https://doi.org/10.1109/iccr56254.2022.9995890","title":"An Intelligent Approach for Predicting Bankruptcy Empowered with Machine Learning Technique","display_name":"An Intelligent Approach for Predicting Bankruptcy Empowered with Machine Learning Technique","publication_year":2022,"publication_date":"2022-10-06","ids":{"openalex":"https://openalex.org/W4313459392","doi":"https://doi.org/10.1109/iccr56254.2022.9995890"},"language":"en","primary_location":{"id":"doi:10.1109/iccr56254.2022.9995890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9995890","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-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/A5102743456","display_name":"N eyara Radwan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"N eyara Radwan","raw_affiliation_strings":["King AbdulAziz University,Faculty of Economics and Administration,KSA Mechanical Department, Faculty of Engineering, SCU,Egypt","KSA Mechanical Department, Faculty of Engineering, SCU, Faculty of Economics and Administration, King AbdulAziz University, Egypt"],"affiliations":[{"raw_affiliation_string":"King AbdulAziz University,Faculty of Economics and Administration,KSA Mechanical Department, Faculty of Engineering, SCU,Egypt","institution_ids":[]},{"raw_affiliation_string":"KSA Mechanical Department, Faculty of Engineering, SCU, Faculty of Economics and Administration, King AbdulAziz University, Egypt","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084440632","display_name":"Haitham M. Alzoubi","orcid":"https://orcid.org/0000-0003-3178-4007"},"institutions":[{"id":"https://openalex.org/I2799888298","display_name":"Skyline University College","ror":"https://ror.org/05r7nbf33","country_code":"AE","type":"education","lineage":["https://openalex.org/I2799888298"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Haitham M. Alzoubi","raw_affiliation_strings":["Skyline University College, University City Sharjah,School of Business,Sharjah,UAE,1797"],"affiliations":[{"raw_affiliation_string":"Skyline University College, University City Sharjah,School of Business,Sharjah,UAE,1797","institution_ids":["https://openalex.org/I2799888298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028105660","display_name":"Nizar Sahawneh","orcid":"https://orcid.org/0000-0001-6011-7938"},"institutions":[{"id":"https://openalex.org/I2799888298","display_name":"Skyline University College","ror":"https://ror.org/05r7nbf33","country_code":"AE","type":"education","lineage":["https://openalex.org/I2799888298"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Nizar Sahawneh","raw_affiliation_strings":["Skyline University College,School of Business,Sharjah,UAE","School of Business, Skyline University College, Sharjah, UAE"],"affiliations":[{"raw_affiliation_string":"Skyline University College,School of Business,Sharjah,UAE","institution_ids":["https://openalex.org/I2799888298"]},{"raw_affiliation_string":"School of Business, Skyline University College, Sharjah, UAE","institution_ids":["https://openalex.org/I2799888298"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016051364","display_name":"Areej Fatima","orcid":"https://orcid.org/0000-0002-7264-7941"},"institutions":[{"id":"https://openalex.org/I4210105419","display_name":"Lahore Garrison University","ror":"https://ror.org/01j4ba358","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210105419"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Areej Fatima","raw_affiliation_strings":["LGU,Department of Computer Science,Lahore,Pakistan","Department of Computer Science, LGU, Lahore, Pakistan"],"affiliations":[{"raw_affiliation_string":"LGU,Department of Computer Science,Lahore,Pakistan","institution_ids":["https://openalex.org/I4210105419"]},{"raw_affiliation_string":"Department of Computer Science, LGU, Lahore, Pakistan","institution_ids":["https://openalex.org/I4210105419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113797134","display_name":"Abdur Rehman","orcid":"https://orcid.org/0000-0002-3029-3620"},"institutions":[{"id":"https://openalex.org/I43729321","display_name":"National College of Business Administration and Economics","ror":"https://ror.org/02my4wj17","country_code":"PK","type":"education","lineage":["https://openalex.org/I43729321"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdur Rehman","raw_affiliation_strings":["School of Computer Science,NCBA&E,Lahore,Pakistan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science,NCBA&E,Lahore,Pakistan","institution_ids":["https://openalex.org/I43729321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078199201","display_name":"Shan Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I43729321","display_name":"National College of Business Administration and Economics","ror":"https://ror.org/02my4wj17","country_code":"PK","type":"education","lineage":["https://openalex.org/I43729321"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Shan Khan","raw_affiliation_strings":["School of Computer Science,NCBA&E,Lahore,Pakistan"],"affiliations":[{"raw_affiliation_string":"School of Computer Science,NCBA&E,Lahore,Pakistan","institution_ids":["https://openalex.org/I43729321"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102743456"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.3053,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.96675192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9656999707221985,"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/T12509","display_name":"Corporate Insolvency and Governance","score":0.9447000026702881,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bankruptcy","display_name":"Bankruptcy","score":0.9544510245323181},{"id":"https://openalex.org/keywords/insolvency","display_name":"Insolvency","score":0.9130504727363586},{"id":"https://openalex.org/keywords/debtor","display_name":"Debtor","score":0.7780129909515381},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5912911891937256},{"id":"https://openalex.org/keywords/bankruptcy-prediction","display_name":"Bankruptcy prediction","score":0.567966103553772},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.5018000602722168},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4896610379219055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45663338899612427},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43772539496421814},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.414762020111084},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.403641939163208},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3521045446395874},{"id":"https://openalex.org/keywords/debt","display_name":"Debt","score":0.1697520613670349},{"id":"https://openalex.org/keywords/creditor","display_name":"Creditor","score":0.14629244804382324}],"concepts":[{"id":"https://openalex.org/C504631918","wikidata":"https://www.wikidata.org/wiki/Q152074","display_name":"Bankruptcy","level":2,"score":0.9544510245323181},{"id":"https://openalex.org/C4163816","wikidata":"https://www.wikidata.org/wiki/Q757382","display_name":"Insolvency","level":2,"score":0.9130504727363586},{"id":"https://openalex.org/C2780414751","wikidata":"https://www.wikidata.org/wiki/Q157470","display_name":"Debtor","level":4,"score":0.7780129909515381},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5912911891937256},{"id":"https://openalex.org/C2777388754","wikidata":"https://www.wikidata.org/wiki/Q1664594","display_name":"Bankruptcy prediction","level":3,"score":0.567966103553772},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.5018000602722168},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4896610379219055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45663338899612427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43772539496421814},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.414762020111084},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.403641939163208},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3521045446395874},{"id":"https://openalex.org/C120527767","wikidata":"https://www.wikidata.org/wiki/Q3196867","display_name":"Debt","level":2,"score":0.1697520613670349},{"id":"https://openalex.org/C159091798","wikidata":"https://www.wikidata.org/wiki/Q157165","display_name":"Creditor","level":3,"score":0.14629244804382324},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccr56254.2022.9995890","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccr56254.2022.9995890","pdf_url":null,"source":{"id":"https://openalex.org/S4363608155","display_name":"2022 International Conference on Cyber Resilience (ICCR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Conference on Cyber Resilience (ICCR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1966873979","https://openalex.org/W2071193822","https://openalex.org/W2078423146","https://openalex.org/W2092747527","https://openalex.org/W2143808324","https://openalex.org/W2149876981","https://openalex.org/W2307376191","https://openalex.org/W2330825144","https://openalex.org/W2564743947","https://openalex.org/W2606916050","https://openalex.org/W2615743202","https://openalex.org/W2751603041","https://openalex.org/W2774099057","https://openalex.org/W2887289205","https://openalex.org/W2890297193","https://openalex.org/W2897596136","https://openalex.org/W2904415173","https://openalex.org/W2908336453","https://openalex.org/W2927107250","https://openalex.org/W2963597855","https://openalex.org/W2997433616","https://openalex.org/W3004507643","https://openalex.org/W3007556402","https://openalex.org/W3007939291","https://openalex.org/W3028563849","https://openalex.org/W3112404004","https://openalex.org/W3118252934","https://openalex.org/W3164306853","https://openalex.org/W4200224789","https://openalex.org/W4200616942","https://openalex.org/W4205555939","https://openalex.org/W4205556360","https://openalex.org/W4205850410","https://openalex.org/W4205867314","https://openalex.org/W4206117987","https://openalex.org/W4207058779","https://openalex.org/W4211119275","https://openalex.org/W4223992687","https://openalex.org/W4224920825","https://openalex.org/W4236586490","https://openalex.org/W4281674651","https://openalex.org/W4285130814","https://openalex.org/W4285259873","https://openalex.org/W4289830854","https://openalex.org/W6765712431","https://openalex.org/W6773761492"],"related_works":["https://openalex.org/W4210812681","https://openalex.org/W2558475835","https://openalex.org/W1996229640","https://openalex.org/W2166673870","https://openalex.org/W4224294036","https://openalex.org/W118228079","https://openalex.org/W2917754177","https://openalex.org/W2355931595","https://openalex.org/W2897833698","https://openalex.org/W4378843798"],"abstract_inverted_index":{"Several":[0],"firms":[1,96],"have":[2],"had":[3],"financial":[4,60],"challenges":[5],"in":[6,77],"recent":[7],"years":[8],"as":[9,46],"a":[10,34,47,50,92,105,122],"result":[11],"of":[12,69,101,119],"the":[13,18,53,67,72],"sluggish":[14],"economic":[15,28],"growth":[16],"over":[17],"last":[19],"decade.":[20],"Financial":[21],"institutions,":[22],"fund":[23],"managers,":[24],"debtors,":[25],"governments,":[26],"and":[27],"stakeholders":[29],"would":[30],"greatly":[31],"benefit":[32],"from":[33],"machine":[35,109],"learning":[36,108],"framework":[37],"for":[38,94,114,124],"bankruptcy":[39,54,115,125],"forecasting.":[40,116],"A":[41],"debtor":[42],"can":[43],"be":[44,84],"identified":[45],"person":[48],"or":[49],"business":[51],"through":[52],"process.":[55],"In":[56],"order":[57],"to":[58,65,86,98],"minimize":[59],"losses,":[61],"it":[62],"is":[63,112],"essential":[64],"determine":[66],"risk":[68,102],"insolvency":[70],"at":[71],"early":[73],"phase.":[74],"With":[75],"this":[76],"mind,":[78],"several":[79],"soft":[80],"computing":[81],"methods":[82],"may":[83],"utilized":[85],"assess":[87],"insolvency.":[88],"This":[89],"study":[90],"proposes":[91],"method":[93,118],"classifying":[95],"according":[97],"their":[99],"level":[100],"based":[103],"on":[104],"deep":[106],"extreme":[107],"(DELM)":[110],"that":[111],"used":[113],"The":[117],"forecasting":[120],"offers":[121],"foundation":[123],"detection":[126],"decision":[127],"assistance.":[128]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}