{"id":"https://openalex.org/W2015652135","doi":"https://doi.org/10.1109/ic4e.2010.114","title":"A Hybrid Data Mining Model for Effective Citizen Relationship Management: A Case Study on Tehran Municipality","display_name":"A Hybrid Data Mining Model for Effective Citizen Relationship Management: A Case Study on Tehran Municipality","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2015652135","doi":"https://doi.org/10.1109/ic4e.2010.114","mag":"2015652135"},"language":"en","primary_location":{"id":"doi:10.1109/ic4e.2010.114","doi":"https://doi.org/10.1109/ic4e.2010.114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic4e.2010.114","pdf_url":null,"source":{"id":"https://openalex.org/S4306419369","display_name":"International Conference on e-Education, e-Business, e-Management and e-Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2010 International Conference on e-Education, e-Business, e-Management and e-Learning","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5019328914","display_name":"Ali Mohammad Ahmadvand","orcid":"https://orcid.org/0000-0003-2141-554X","observed_orcids":["https://orcid.org/0000-0003-2141-554X"]},"institutions":[{"id":"https://openalex.org/I120234788","display_name":"Imam Hossein University","ror":"https://ror.org/04esb6v42","country_code":"IR","type":"education","lineage":["https://openalex.org/I120234788"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Mohammad Ahmadvand","raw_affiliation_strings":["Department of industrial engineering, Imam Hossein University, Tehran, Iran","Dept. of Ind. Eng., Imam Hossein Univ., Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of industrial engineering, Imam Hossein University, Tehran, Iran","institution_ids":["https://openalex.org/I120234788"]},{"raw_affiliation_string":"Dept. of Ind. Eng., Imam Hossein Univ., Tehran, Iran","institution_ids":["https://openalex.org/I120234788"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057087345","display_name":"Behrouz  Minaei Bidgoli","orcid":"https://orcid.org/0000-0002-9327-7345","observed_orcids":["https://orcid.org/0000-0002-9327-7345","https://orcid.org/0000-0001-5834-1041","https://orcid.org/0009-0007-5957-7145"]},"institutions":[{"id":"https://openalex.org/I67009956","display_name":"Iran University of Science and Technology","ror":"https://ror.org/01jw2p796","country_code":"IR","type":"education","lineage":["https://openalex.org/I67009956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Behrooz Minaei Bidgoli","raw_affiliation_strings":["Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran","institution_ids":["https://openalex.org/I67009956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010114651","display_name":"Elham Akhondzadeh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I119025939","display_name":"Shahed University","ror":"https://ror.org/01e8ff003","country_code":"IR","type":"education","lineage":["https://openalex.org/I119025939"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Elham Akhondzadeh","raw_affiliation_strings":["Department of industrial engineering, Shahed University, Tehran, Iran","Dept. of Ind. Eng., Shaehd Univ., Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of industrial engineering, Shahed University, Tehran, Iran","institution_ids":["https://openalex.org/I119025939"]},{"raw_affiliation_string":"Dept. of Ind. Eng., Shaehd Univ., Tehran, Iran","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4626,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87417943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"277","last_page":"281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10953","display_name":"E-Government and Public Services","score":0.5404999852180481,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10953","display_name":"E-Government and Public Services","score":0.5404999852180481,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.42649999260902405,"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"}},{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.013199999928474426,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/citizen-relationship-management","display_name":"citizen relationship management","score":0.9950000047683716},{"id":"https://openalex.org/keywords/citizen-satisfaction","display_name":"citizen satisfaction","score":0.9369999766349792},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9010000228881836},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.8240000009536743},{"id":"https://openalex.org/keywords/public-service-delivery","display_name":"public service delivery","score":0.5680000185966492},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.5690000057220459},{"id":"https://openalex.org/keywords/tehran-municipality","display_name":"Tehran Municipality","score":0.6439999938011169},{"id":"https://openalex.org/keywords/e-government","display_name":"e-government","score":0.4959999918937683}],"concepts":[{"id":"https://openalex.org/C2780838233","wikidata":"https://www.wikidata.org/wiki/Q836925","display_name":"Complaint","level":2,"score":0.7875497341156006},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7623318433761597},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5668544173240662},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346898436546326},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.486741304397583},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.46354028582572937},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4604395627975464},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.44369056820869446},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4251341223716736},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4117528796195984},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.40983033180236816},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.408258318901062},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.35109660029411316},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.20470991730690002},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1842949390411377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16876423358917236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10309386253356934},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic4e.2010.114","doi":"https://doi.org/10.1109/ic4e.2010.114","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic4e.2010.114","pdf_url":null,"source":{"id":"https://openalex.org/S4306419369","display_name":"International Conference on e-Education, e-Business, e-Management and e-Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2010 International Conference on e-Education, e-Business, e-Management and e-Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7250000238418579,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"},{"score":0.6601999998092651,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1565377632","https://openalex.org/W2015557855","https://openalex.org/W2019273138","https://openalex.org/W2072958916","https://openalex.org/W2084936098","https://openalex.org/W2122985060","https://openalex.org/W2140190241","https://openalex.org/W2147953360","https://openalex.org/W2482589566","https://openalex.org/W4245238933"],"related_works":["https://openalex.org/W2165980894","https://openalex.org/W2969692914","https://openalex.org/W4205338055","https://openalex.org/W2185411349","https://openalex.org/W2075539802","https://openalex.org/W1538229038","https://openalex.org/W2345270225","https://openalex.org/W4242168752","https://openalex.org/W4312873456","https://openalex.org/W4249625961"],"abstract_inverted_index":{"Currently,":[0],"many":[1],"governments":[2],"are":[3,195],"actively":[4],"promoting":[5],"implementation":[6],"of":[7,25,43,72,78,100,123,131,150,170,175,188,192,210,220],"ICT":[8],"to":[9,21,30,51,84,92,108,162,198,206],"be":[10,48,216],"more":[11],"citizen-oriented.":[12],"For":[13],"effective":[14],"citizen":[15,27,86],"relationship":[16],"management,":[17],"it":[18],"is":[19,91,119,160],"important":[20],"identify":[22,163],"the":[23,41,60,70,81,94,98,105,110,124,127,129,140,144,147,157,164,168,173,181,193,208,221],"needs":[24],"different":[26],"groups":[28],"and":[29,80,139,146,183],"provide":[31],"respective":[32],"services":[33],"for":[34],"each":[35,151],"group":[36],"accordingly.":[37],"In":[38,55],"this":[39,56],"way,":[40],"application":[42],"data":[44,66,117,226],"mining":[45,67,227],"tools":[46,228],"would":[47],"very":[49,196],"useful":[50,197],"understand":[52],"citizen's":[53],"needs.":[54],"paper,":[57],"focusing":[58],"on":[59,69,224],"CiRM":[61],"concept,":[62],"we":[63,103],"apply":[64],"a":[65,154,185,200],"framework":[68,76],"database":[71],"Tehran":[73],"municipality.":[74],"This":[75,213],"consists":[77],"clustering":[79],"association":[82,158],"rule":[83,159],"improve":[85,207],"satisfaction.":[87,101,212],"The":[88,190],"main":[89],"objective":[90],"find":[93],"factors":[95,165],"those":[96],"affect":[97,167],"rate":[99,169,209],"Firstly,":[102],"use":[104],"K-means":[106],"algorithm":[107],"cluster":[109,174],"subjects":[111,176],"that":[112,133,166,177],"cause":[113],"citizens":[114],"complaint.":[115],"Every":[116],"point":[118],"identified":[120],"in":[121,172,204,229],"terms":[122],"following":[125],"features:":[126],"frequency,":[128],"number":[130,187],"days":[132],"at":[134],"least":[135],"one":[136,219],"complaint":[137],"occurred":[138],"interval":[141],"time":[142,149],"between":[143],"first":[145,222],"latest":[148],"subject":[152],"during":[153,180],"season.":[155],"Secondly,":[156],"used":[161],"satisfaction":[171],"occur":[178],"regularly":[179],"season":[182],"have":[184],"high":[186],"complaints.":[189],"results":[191],"research":[194],"build":[199],"strategy":[201],"recommendation":[202],"system":[203],"order":[205],"citizens'":[211],"study":[214],"could":[215],"notable":[217],"as":[218],"studies":[223],"using":[225],"CiRM.":[230]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}
