{"id":"https://openalex.org/W2397409531","doi":"https://doi.org/10.4018/ijsir.2016070103","title":"Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms","display_name":"Customer Profiling in Complex Analytical Environments Using Swarm Intelligence Algorithms","publication_year":2016,"publication_date":"2016-05-24","ids":{"openalex":"https://openalex.org/W2397409531","doi":"https://doi.org/10.4018/ijsir.2016070103","mag":"2397409531"},"language":"en","primary_location":{"id":"doi:10.4018/ijsir.2016070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2016070103","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-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/A5061402604","display_name":"Goran Klepac","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113800","display_name":"Croatian National Bank","ror":"https://ror.org/01e154458","country_code":"HR","type":"other","lineage":["https://openalex.org/I4210113800"]}],"countries":["HR"],"is_corresponding":true,"raw_author_name":"Goran Klepac","raw_affiliation_strings":["Raiffeisenbank Austria d.d., Zagreb, Croatia"],"affiliations":[{"raw_affiliation_string":"Raiffeisenbank Austria d.d., Zagreb, Croatia","institution_ids":["https://openalex.org/I4210113800"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061402604"],"corresponding_institution_ids":["https://openalex.org/I4210113800"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.05645775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"3","first_page":"43","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9778000116348267,"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":0.9778000116348267,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9684000015258789,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9473000168800354,"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/profiling","display_name":"Profiling (computer programming)","score":0.7578281164169312},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7367584705352783},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.6288573741912842},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6015018820762634},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.460246741771698},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4487423896789551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4288116693496704},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3607984483242035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3490903377532959},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3297503888607025},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32483792304992676}],"concepts":[{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7578281164169312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367584705352783},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.6288573741912842},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6015018820762634},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.460246741771698},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4487423896789551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4288116693496704},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3607984483242035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3490903377532959},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3297503888607025},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32483792304992676},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsir.2016070103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsir.2016070103","pdf_url":null,"source":{"id":"https://openalex.org/S146254016","display_name":"International Journal of Swarm Intelligence Research","issn_l":"1947-9263","issn":["1947-9263","1947-9271"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Swarm Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsir00:v:7:y:2016:i:3:p:43-70","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSIR.2016070103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W90184595","https://openalex.org/W315572163","https://openalex.org/W570668691","https://openalex.org/W610926550","https://openalex.org/W1560770548","https://openalex.org/W1566639089","https://openalex.org/W1983537754","https://openalex.org/W2010395898","https://openalex.org/W2015238820","https://openalex.org/W2029459524","https://openalex.org/W2043394675","https://openalex.org/W2062847294","https://openalex.org/W2083526758","https://openalex.org/W2084086154","https://openalex.org/W2090259112","https://openalex.org/W2140190241","https://openalex.org/W2255699139","https://openalex.org/W2282198881","https://openalex.org/W2479403242","https://openalex.org/W2482488970","https://openalex.org/W2485210069","https://openalex.org/W2490603794","https://openalex.org/W2490806484","https://openalex.org/W2491380427","https://openalex.org/W2492638456","https://openalex.org/W2494706938","https://openalex.org/W2496431399","https://openalex.org/W2497399740","https://openalex.org/W2497475768","https://openalex.org/W2503821391","https://openalex.org/W2504194071","https://openalex.org/W2506070856","https://openalex.org/W2532552158","https://openalex.org/W2717725285","https://openalex.org/W2885583336","https://openalex.org/W2886833299","https://openalex.org/W2905417777","https://openalex.org/W2997232269"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W2070977815","https://openalex.org/W2241084252"],"abstract_inverted_index":{"Customer":[0],"profiling":[1],"is":[2],"always":[3],"an":[4,51],"interesting":[5],"task":[6],"from":[7,37,70],"perspective":[8],"of":[9,18,31,47,53,74],"business.":[10],"It":[11],"became":[12],"even":[13],"bigger":[14],"challenge":[15],"in":[16,45,85],"situation":[17],"complex":[19],"analytical":[20,23],"environment.":[21],"Complex":[22],"environment":[24],"can":[25],"be":[26,61],"caused":[27],"by":[28],"multiple":[29],"modality":[30],"output":[32],"variable":[33],"as":[34,36,63],"well":[35],"big":[38],"data":[39,43,48],"environment,":[40],"which":[41,66,92],"cause":[42],"complexity":[44],"way":[46],"quantity.":[49],"As":[50],"illustration":[52],"presented":[54],"concept":[55],"particle":[56],"swarm":[57],"optimization":[58],"algorithm":[59],"will":[60,67],"used":[62],"a":[64],"tool,":[65],"find":[68],"profiles":[69,91],"developed":[71],"predictive":[72],"model":[73],"neural":[75],"network.":[76],"Presented":[77],"methodology":[78],"has":[79],"practical":[80],"value":[81],"for":[82,104],"decision":[83],"support":[84],"business,":[86],"where":[87],"information":[88,103],"about":[89],"customer":[90,108],"prefers":[93],"to":[94],"buy":[95],"some":[96],"product":[97],"or":[98],"group":[99],"products":[100],"are":[101],"valuable":[102],"campaign":[105],"planning":[106],"and":[107],"portfolio":[109],"management.":[110]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}