{"id":"https://openalex.org/W3212872906","doi":"https://doi.org/10.1109/icccnt51525.2021.9579949","title":"Divorce Prediction using Machine Learning Methods-Bangladesh Perspective","display_name":"Divorce Prediction using Machine Learning Methods-Bangladesh Perspective","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3212872906","doi":"https://doi.org/10.1109/icccnt51525.2021.9579949","mag":"3212872906"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5067607936","display_name":"Md. Ashrafujjaman Tutul","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Ashrafujjaman Tutul","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682179","display_name":"Md. Mehedi Hasan","orcid":"https://orcid.org/0000-0002-2570-6398"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Mehedi Hasan","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031756111","display_name":"Shashata Kumar Mondol","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Shashata Kumar Mondol","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059075152","display_name":"Moshaddek Hossain","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Moshaddek Hossain","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033188506","display_name":"Ahmed Al Marouf","orcid":"https://orcid.org/0000-0001-6520-0749"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Ahmed Al Marouf","raw_affiliation_strings":["Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Department of Computer Science and Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067607936"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":1.0546,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78524075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T10677","display_name":"Attachment and Relationship Dynamics","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10677","display_name":"Attachment and Relationship Dynamics","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13632","display_name":"Marriage and Sexual Relationships","score":0.9674000144004822,"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"}},{"id":"https://openalex.org/T11118","display_name":"Evolutionary Psychology and Human Behavior","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7324283123016357},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.718771755695343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7042973637580872},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6988376975059509},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6521499156951904},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6285606026649475},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5995514988899231},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5872442722320557},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.555578887462616},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.550212562084198},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.538114607334137},{"id":"https://openalex.org/keywords/mediation","display_name":"Mediation","score":0.4811881184577942},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4409894645214081},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.4315301477909088},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3567860424518585},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.243793785572052}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7324283123016357},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.718771755695343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7042973637580872},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6988376975059509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6521499156951904},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6285606026649475},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5995514988899231},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5872442722320557},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.555578887462616},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.550212562084198},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.538114607334137},{"id":"https://openalex.org/C179420905","wikidata":"https://www.wikidata.org/wiki/Q223871","display_name":"Mediation","level":2,"score":0.4811881184577942},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4409894645214081},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.4315301477909088},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3567860424518585},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.243793785572052},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579949","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579949","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":22,"referenced_works":["https://openalex.org/W113230244","https://openalex.org/W179179905","https://openalex.org/W1485955713","https://openalex.org/W1495061682","https://openalex.org/W1566376227","https://openalex.org/W1592848544","https://openalex.org/W1797580880","https://openalex.org/W1806089308","https://openalex.org/W2049880870","https://openalex.org/W2123074652","https://openalex.org/W2133554278","https://openalex.org/W2139348566","https://openalex.org/W2904413065","https://openalex.org/W2938295933","https://openalex.org/W2969156729","https://openalex.org/W2999812538","https://openalex.org/W3006988731","https://openalex.org/W4285719527","https://openalex.org/W6604582312","https://openalex.org/W6607259140","https://openalex.org/W6628983204","https://openalex.org/W6635555317"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W4379620016","https://openalex.org/W3154045278","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W4285162676","https://openalex.org/W4382052559","https://openalex.org/W3036529732","https://openalex.org/W2780266336","https://openalex.org/W4309640013"],"abstract_inverted_index":{"In":[0],"this":[1,80,210],"paper,":[2],"we":[3,122],"have":[4],"proposed":[5],"a":[6,48,72],"mechanism":[7],"for":[8,71,212],"predicting":[9],"divorce":[10,145,160],"and":[11,75,90,110,205,220],"utilized":[12,42],"the":[13,18,97,100,118,127,135,144,148,159,163,181,184,191,197,215,224,230,233,238],"established":[14],"way":[15,77],"to":[16,65,78,124,214],"evaluating":[17],"scale":[19,211],"named":[20],"Divorce":[21,101],"Predictors":[22,54,102],"Scale":[23],"(DPS).":[24],"The":[25],"DPS,":[26],"which":[27,39],"is":[28,61],"based":[29,133],"on":[30,134,158],"Gottman":[31,234],"couple's":[32,235],"therapy,":[33],"consists":[34],"54":[35],"items":[36],"self-report":[37],"questionaries,":[38],"could":[40,226],"be":[41,227],"as":[43],"features":[44,132,183],"or":[45,129],"attributes":[46],"in":[47,147,237],"machine":[49],"learning":[50],"model.":[51],"Besides":[52],"“Divorce":[53],"Scale”":[55],"another":[56],"form":[57],"was":[58,168],"used":[59],"that":[60,229],"“personal":[62],"information":[63,68],"form”":[64],"collect":[66],"personal":[67],"of":[69,99,150,217,232],"participants":[70,84],"more":[73],"conventional":[74],"disciplined":[76],"conduct":[79],"research.":[81],"Among":[82],"200":[83],"(N=200),":[85],"126":[86],"(63%)":[87],"were":[88,93,115],"married":[89],"74":[91],"(37%)":[92],"divorced.":[94],"To":[95],"investigate":[96],"success":[98],"Scale,":[103],"Multilayer":[104,192],"Perceptron":[105],"(MLP),":[106],"Naïve":[107,171],"Bayes":[108,172],"(NB)":[109],"Random":[111],"Forest":[112],"(RF)":[113],"algorithms":[114,156],"used.":[116],"Using":[117],"feature":[119,137,177],"selection":[120,178],"approach,":[121],"tried":[123],"narrow":[125],"down":[126],"significant":[128],"most":[130],"important":[131],"correlation-based":[136],"selection.":[138],"Hence,":[139],"found":[140],"6":[141],"features/items":[142],"influencing":[143],"prediction":[146,161,165,186],"context":[149],"Bangladeshi":[151,239],"data.":[152],"During":[153],"applying":[154,176],"different":[155],"directly":[157],"dataset,":[162],"highest":[164,185],"accuracy":[166,187],"rate":[167],"87.14%":[169],"with":[170,190],"algorithm.":[173],"But":[174],"after":[175],"criteria,":[179],"using":[180],"selected":[182],"obtained":[188],"84.29%":[189],"Perceptron.":[193],"As":[194],"indicated":[195],"by":[196],"outcomes,":[198],"DPS":[199],"can":[200,208],"predict":[201],"divorce.":[202],"Family":[203],"advocates":[204],"family":[206],"specialists":[207],"utilize":[209],"adding":[213],"arrangement":[216],"case":[218],"definition":[219],"mediation":[221],"plans.":[222],"Moreover,":[223],"analysis":[225],"stated":[228],"affirmation":[231],"treatment":[236],"sample":[240],"are":[241],"confirmed.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}