{"id":"https://openalex.org/W2570430069","doi":"https://doi.org/10.1007/978-3-319-51281-5_43","title":"A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning","display_name":"A New Customer Churn Prediction Approach Based on Soft Set Ensemble Pruning","publication_year":2016,"publication_date":"2016-12-29","ids":{"openalex":"https://openalex.org/W2570430069","doi":"https://doi.org/10.1007/978-3-319-51281-5_43","mag":"2570430069"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-51281-5_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_43","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-51281-5_43","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065408137","display_name":"Mohd Khalid Awang","orcid":"https://orcid.org/0000-0001-9715-5161"},"institutions":[{"id":"https://openalex.org/I51569856","display_name":"Sultan Zainal Abidin University","ror":"https://ror.org/00bnk2e50","country_code":"MY","type":"education","lineage":["https://openalex.org/I51569856"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohd Khalid Awang","raw_affiliation_strings":["Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia","institution_ids":["https://openalex.org/I51569856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033744881","display_name":"Mokhairi Makhtar","orcid":"https://orcid.org/0000-0002-2168-489X"},"institutions":[{"id":"https://openalex.org/I51569856","display_name":"Sultan Zainal Abidin University","ror":"https://ror.org/00bnk2e50","country_code":"MY","type":"education","lineage":["https://openalex.org/I51569856"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mokhairi Makhtar","raw_affiliation_strings":["Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia","institution_ids":["https://openalex.org/I51569856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052019701","display_name":"Mohd Nordin Abd Rahman","orcid":null},"institutions":[{"id":"https://openalex.org/I51569856","display_name":"Sultan Zainal Abidin University","ror":"https://ror.org/00bnk2e50","country_code":"MY","type":"education","lineage":["https://openalex.org/I51569856"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mohd Nordin Abd Rahman","raw_affiliation_strings":["Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Informatics and Computing, Universiti Sultan Zainal Abidin, 22200, Besut, Terengganu, Malaysia","institution_ids":["https://openalex.org/I51569856"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025663548","display_name":"Mustafa Mat Deris","orcid":"https://orcid.org/0009-0000-8722-1073"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Mustafa Mat Deris","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, Johor, Malaysia","Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]},{"raw_affiliation_string":"Universiti Tun Hussein Onn Malaysia, Batu Pahat, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065408137"],"corresponding_institution_ids":["https://openalex.org/I51569856"],"apc_list":null,"apc_paid":null,"fwci":0.6418,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70650096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"427","last_page":"436"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9940000176429749,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9919999837875366,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.8407765626907349},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7747488021850586},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6986833214759827},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5875787138938904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5826241374015808},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.579694390296936},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5320804119110107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5051737427711487},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.5007412433624268},{"id":"https://openalex.org/keywords/soft-computing","display_name":"Soft computing","score":0.4734492003917694},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45600426197052},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4061756432056427},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22175976634025574},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.20604202151298523}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.8407765626907349},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747488021850586},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6986833214759827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5875787138938904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5826241374015808},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.579694390296936},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5320804119110107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5051737427711487},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.5007412433624268},{"id":"https://openalex.org/C140073362","wikidata":"https://www.wikidata.org/wiki/Q738759","display_name":"Soft computing","level":3,"score":0.4734492003917694},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45600426197052},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4061756432056427},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22175976634025574},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.20604202151298523},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-51281-5_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_43","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-51281-5_43","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_43","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.5400000214576721,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328944","display_name":"Universiti Sultan Zainal Abidin","ror":"https://ror.org/00bnk2e50"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1479873353","https://openalex.org/W1534477342","https://openalex.org/W1553701556","https://openalex.org/W1562197959","https://openalex.org/W1915363084","https://openalex.org/W1972860770","https://openalex.org/W1978352585","https://openalex.org/W1980264541","https://openalex.org/W2009727399","https://openalex.org/W2016375676","https://openalex.org/W2037402401","https://openalex.org/W2053463056","https://openalex.org/W2069754181","https://openalex.org/W2095209150","https://openalex.org/W2103346566","https://openalex.org/W2111746072","https://openalex.org/W2112076978","https://openalex.org/W2115346774","https://openalex.org/W2127082287","https://openalex.org/W2133990480","https://openalex.org/W2148669107","https://openalex.org/W2150446468","https://openalex.org/W2150757437","https://openalex.org/W2152845619","https://openalex.org/W2296436990","https://openalex.org/W2912934387","https://openalex.org/W2914369697","https://openalex.org/W2922129458","https://openalex.org/W4212883601","https://openalex.org/W4232900245","https://openalex.org/W4240294902","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1981866886","https://openalex.org/W2052615004","https://openalex.org/W2794896638","https://openalex.org/W2046975922","https://openalex.org/W1807784185","https://openalex.org/W4361733484","https://openalex.org/W4256395896","https://openalex.org/W45170056","https://openalex.org/W3202800081","https://openalex.org/W3149839747"],"abstract_inverted_index":{"Accurate":[0],"customer":[1,32,162,217],"churn":[2,163],"prediction":[3,148,214],"is":[4,38,181],"vital":[5],"in":[6,15,82],"any":[7],"business":[8],"organization":[9],"due":[10],"to":[11,30,95,113,133,183,211],"higher":[12],"cost":[13],"involved":[14],"getting":[16],"new":[17],"customers.":[18],"In":[19,150],"telecommunication":[20],"businesses,":[21],"companies":[22],"have":[23,71,87,170],"used":[24],"various":[25],"types":[26],"of":[27,63,78,108,119,126,138,167,176,186,189,204,206,216],"single":[28],"classifiers":[29,54,98,111,139],"classify":[31],"churn,":[33],"but":[34,209],"the":[35,43,61,65,83,97,105,109,114,120,124,142,146,161,187,202,207,213],"classification":[36,44,67],"accuracy":[37,45,215],"still":[39],"relatively":[40],"low.":[41],"However,":[42],"can":[46],"be":[47],"improved":[48],"by":[49],"integrating":[50],"decisions":[51],"from":[52,74,99],"multiple":[53],"through":[55],"an":[56],"ensemble":[57,69,101,131,158,179,190],"method.":[58,191],"Despite":[59],"having":[60],"ability":[62,125],"producing":[64,145],"highest":[66,147],"accuracy,":[68],"methods":[70],"suffered":[72],"significantly":[73],"their":[75],"large":[76],"volume":[77],"base":[79],"classifiers.":[80],"Thus,":[81],"previous":[84,121],"work,":[85],"we":[86,153],"proposed":[88,128,174],"a":[89,135],"novel":[90],"soft":[91,129,156,177,196],"set":[92,130,157,178,197],"based":[93,194],"method":[94,175],"prune":[96],"heterogeneous":[100],"committee":[102],"and":[103,140],"select":[104],"best":[106],"subsets":[107],"component":[110],"prior":[112],"combination":[115],"process.":[116],"The":[117,165],"results":[118,166],"study":[122],"demonstrated":[123],"our":[127,155,173],"pruning":[132,159,180,193],"reduce":[134,201],"substantial":[136],"number":[137,203],"at":[141],"same":[143],"time":[144],"accuracy.":[149],"this":[151,168],"paper,":[152],"extended":[154],"on":[160,195],"dataset.":[164],"work":[169],"proven":[171],"that":[172],"able":[182,210],"overcome":[184],"one":[185],"drawbacks":[188],"Ensemble":[192],"theory":[198],"not":[199],"only":[200],"members":[205],"ensemble,":[208],"increase":[212],"churn.":[218]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}