{"id":"https://openalex.org/W1982983177","doi":"https://doi.org/10.1016/j.eswa.2010.05.042","title":"Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques","display_name":"Apply robust segmentation to the service industry using kernel induced fuzzy clustering techniques","publication_year":2010,"publication_date":"2010-06-03","ids":{"openalex":"https://openalex.org/W1982983177","doi":"https://doi.org/10.1016/j.eswa.2010.05.042","mag":"1982983177"},"language":"en","primary_location":{"id":"doi:10.1016/j.eswa.2010.05.042","doi":"https://doi.org/10.1016/j.eswa.2010.05.042","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2010.05.042","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"},"volume":null,"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/A5080110117","display_name":"Chih-Hsuan Wang","orcid":"https://orcid.org/0000-0002-8361-8062","observed_orcids":["https://orcid.org/0000-0002-8361-8062"]},"institutions":[{"id":"https://openalex.org/I192703390","display_name":"Ming Chuan University","ror":"https://ror.org/02pgvzy25","country_code":"TW","type":"education","lineage":["https://openalex.org/I192703390"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hsuan Wang","raw_affiliation_strings":["Ming Chuan University, Department of Business Administration, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ming Chuan University, Department of Business Administration, Taiwan","institution_ids":["https://openalex.org/I192703390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080110117"],"corresponding_institution_ids":["https://openalex.org/I192703390"],"apc_list":{"value":3500,"currency":"USD","value_usd":3500},"apc_paid":null,"fwci":8.5513,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.96573754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"37","issue":"12","first_page":"8395","last_page":"8400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.6449999809265137,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T12384","display_name":"Customer churn and segmentation","score":0.6449999809265137,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.3418000042438507,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/customer-segmentation","display_name":"customer segmentation","score":0.9570000171661377},{"id":"https://openalex.org/keywords/robust-clustering","display_name":"robust clustering","score":0.6000000238418579},{"id":"https://openalex.org/keywords/outliers","display_name":"outliers","score":0.6520000100135803},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"customer relationship management","score":0.8330000042915344},{"id":"https://openalex.org/keywords/service-sector","display_name":"service sector","score":0.8529999852180481},{"id":"https://openalex.org/keywords/wine-dataset","display_name":"wine dataset","score":0.699999988079071},{"id":"https://openalex.org/keywords/noisy-data","display_name":"noisy data","score":0.6859999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952980995178223},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.719454824924469},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6443579792976379},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6245992183685303},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6015318632125854},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5346606969833374},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.531446635723114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5039724707603455},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49561989307403564},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.46808868646621704},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4561431407928467},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43133342266082764},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4169853627681732},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4152040183544159},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.13640984892845154},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13625794649124146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06511658430099487},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.eswa.2010.05.042","doi":"https://doi.org/10.1016/j.eswa.2010.05.042","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.eswa.2010.05.042","pdf_url":null,"source":{"id":"https://openalex.org/S13144211","display_name":"Expert Systems with Applications","issn_l":"0957-4174","issn":["0957-4174","1873-6793"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","ccf-c","cwts-core","dongbi-c","doyens","fnege-3","jufo-2","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Expert Systems with Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5899999737739563}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320329662","display_name":"Research Foundation of Cardiovascular Medicine","ror":"https://ror.org/05c6kkj33"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1499399937","https://openalex.org/W1965359124","https://openalex.org/W1970655212","https://openalex.org/W1974808478","https://openalex.org/W1990788070","https://openalex.org/W1992419399","https://openalex.org/W1992474128","https://openalex.org/W1998981782","https://openalex.org/W2008015479","https://openalex.org/W2010671030","https://openalex.org/W2047350783","https://openalex.org/W2059888405","https://openalex.org/W2062625370","https://openalex.org/W2065010396","https://openalex.org/W2068363510","https://openalex.org/W2077337938","https://openalex.org/W2094205735","https://openalex.org/W2095345875","https://openalex.org/W2097006579","https://openalex.org/W2098366821","https://openalex.org/W2113076747","https://openalex.org/W2115077250","https://openalex.org/W2120688485","https://openalex.org/W2125687218","https://openalex.org/W2137130182","https://openalex.org/W2153233077","https://openalex.org/W2165325570","https://openalex.org/W2167374789","https://openalex.org/W2331052961"],"related_works":["https://openalex.org/W2034126201","https://openalex.org/W2010671030","https://openalex.org/W2384910139","https://openalex.org/W2893801087","https://openalex.org/W4381149050","https://openalex.org/W2150760311","https://openalex.org/W40681021","https://openalex.org/W1988386060","https://openalex.org/W2384480162","https://openalex.org/W2370039338"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-09-25T08:18:29.962427","created_date":"2016-06-24T00:00:00"}
