{"id":"https://openalex.org/W4367677004","doi":"https://doi.org/10.4018/978-1-6684-7105-0.ch006","title":"Mall Customer Segmentation Engine Through Clustering Analysis","display_name":"Mall Customer Segmentation Engine Through Clustering Analysis","publication_year":2023,"publication_date":"2023-05-02","ids":{"openalex":"https://openalex.org/W4367677004","doi":"https://doi.org/10.4018/978-1-6684-7105-0.ch006"},"language":"en","primary_location":{"id":"doi:10.4018/978-1-6684-7105-0.ch006","doi":"https://doi.org/10.4018/978-1-6684-7105-0.ch006","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-6684-7105-0.ch006","pdf_url":null,"source":{"id":"https://openalex.org/S4210225011","display_name":"Advances in business information systems and analytics book series","issn_l":"2327-3275","issn":["2327-3275","2327-3283"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Business Information Systems and Analytics","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W4367677050","display_name":"Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics"},"type":"book-chapter","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/A5022920736","display_name":"Meenu Vijarania","orcid":"https://orcid.org/0000-0003-0206-5927","observed_orcids":["https://orcid.org/0000-0003-0206-5927","https://orcid.org/0000-0002-3525-7944"]},"institutions":[{"id":"https://openalex.org/I4210114149","display_name":"KR Mangalam University","ror":"https://ror.org/026b9sf88","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210114149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Meenu Vijarania","raw_affiliation_strings":["K.R. Mangalam University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.R. Mangalam University, India","institution_ids":["https://openalex.org/I4210114149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100629279","display_name":"Nitin Kumar","orcid":"https://orcid.org/0000-0003-1548-0636","observed_orcids":["https://orcid.org/0000-0003-1548-0636","https://orcid.org/0009-0008-5271-8782"]},"institutions":[{"id":"https://openalex.org/I4210114149","display_name":"KR Mangalam University","ror":"https://ror.org/026b9sf88","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210114149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nitin Kumar","raw_affiliation_strings":["K.R. Mangalam University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.R. Mangalam University, India","institution_ids":["https://openalex.org/I4210114149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030582263","display_name":"Rohit Kumar","orcid":"https://orcid.org/0000-0001-9776-0468","observed_orcids":["https://orcid.org/0000-0001-9776-0468","https://orcid.org/0009-0006-9472-2486"]},"institutions":[{"id":"https://openalex.org/I4210114149","display_name":"KR Mangalam University","ror":"https://ror.org/026b9sf88","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210114149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rohit Kumar","raw_affiliation_strings":["K.R. Mangalam University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.R. Mangalam University, India","institution_ids":["https://openalex.org/I4210114149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101778338","display_name":"Swati Gupta","orcid":"https://orcid.org/0000-0002-9450-6381","observed_orcids":["https://orcid.org/0000-0002-9450-6381"]},"institutions":[{"id":"https://openalex.org/I4210114149","display_name":"KR Mangalam University","ror":"https://ror.org/026b9sf88","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210114149"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Swati Gupta","raw_affiliation_strings":["K.R. Mangalam University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"K.R. Mangalam University, India","institution_ids":["https://openalex.org/I4210114149"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210114149"],"apc_list":null,"apc_paid":null,"fwci":4.0728,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.93832399,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.5038999915122986,"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":0.5038999915122986,"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":0.26420000195503235,"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":0.21789999306201935,"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":0.9980000257492065},{"id":"https://openalex.org/keywords/clustering-algorithms","display_name":"clustering algorithms","score":0.9330000281333923},{"id":"https://openalex.org/keywords/rapidminer","display_name":"RapidMiner","score":0.8679999709129333},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.5600000023841858},{"id":"https://openalex.org/keywords/customer-behavior-data","display_name":"customer behavior data","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8568980693817139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6341681480407715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59622722864151},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5464504957199097},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5096027851104736},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48230862617492676},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4490080177783966},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.43814417719841003},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43310248851776123},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4284713864326477},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4258248805999756},{"id":"https://openalex.org/C186767784","wikidata":"https://www.wikidata.org/wiki/Q5162841","display_name":"Consensus clustering","level":5,"score":0.41710615158081055},{"id":"https://openalex.org/C23822008","wikidata":"https://www.wikidata.org/wiki/Q5156437","display_name":"Complete-linkage clustering","level":5,"score":0.41660448908805847},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.4113214612007141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3666679263114929},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.352841317653656},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.3066040873527527},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/978-1-6684-7105-0.ch006","doi":"https://doi.org/10.4018/978-1-6684-7105-0.ch006","is_oa":false,"landing_page_url":"https://doi.org/10.4018/978-1-6684-7105-0.ch006","pdf_url":null,"source":{"id":"https://openalex.org/S4210225011","display_name":"Advances in business information systems and analytics book series","issn_l":"2327-3275","issn":["2327-3275","2327-3283"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Business Information Systems and Analytics","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W95719993","https://openalex.org/W1495441429","https://openalex.org/W2011430131","https://openalex.org/W2011832962","https://openalex.org/W2034664902","https://openalex.org/W2073849744","https://openalex.org/W2116803055","https://openalex.org/W2139023357","https://openalex.org/W2142722070","https://openalex.org/W2142838865","https://openalex.org/W2161160262","https://openalex.org/W2268856018","https://openalex.org/W2278489136","https://openalex.org/W2317568109","https://openalex.org/W2340165562","https://openalex.org/W2559781773","https://openalex.org/W2618485111","https://openalex.org/W2782983309","https://openalex.org/W2795083858","https://openalex.org/W2887011380","https://openalex.org/W2913855000","https://openalex.org/W3207993726","https://openalex.org/W4226090224","https://openalex.org/W4236110830","https://openalex.org/W4245605774","https://openalex.org/W4292847575","https://openalex.org/W4321201497","https://openalex.org/W4323527754","https://openalex.org/W4405066624"],"related_works":["https://openalex.org/W3207993726","https://openalex.org/W4316094546","https://openalex.org/W2361921462","https://openalex.org/W2098736878","https://openalex.org/W2367302109","https://openalex.org/W4411714356","https://openalex.org/W7216441657","https://openalex.org/W4411450343","https://openalex.org/W4377427776","https://openalex.org/W4367322377"],"abstract_inverted_index":{"Finding":[0],"related":[1],"information":[2],"within":[3],"a":[4,9,30,44],"cluster":[5,15],"is":[6,29,101],"done":[7],"using":[8],"technique":[10],"called":[11],"clustering.":[12],"The":[13,98],"dataset":[14],"uses":[16],"the":[17,58,63,81,109],"data's":[18],"maximum":[19],"and":[20,40,50,61,68],"minimum":[21],"values":[22],"to":[23,46,107],"group":[24,65],"together":[25],"similar":[26],"data.":[27],"Clustering":[28],"process":[31],"in":[32],"which":[33],"matter":[34],"has":[35],"been":[36,78],"split":[37],"into":[38],"groups":[39],"grouped":[41],"based":[42],"on":[43],"rule":[45],"maximize":[47],"within-group":[48],"similarity":[49],"minimize":[51],"between-group":[52],"difference":[53],"likeness.":[54],"In":[55,80],"this":[56],"chapter,":[57,82],"authors":[59],"examine":[60],"contrast":[62],"various":[64],"analysis":[66],"techniques":[67],"algorithms":[69,88],"employed":[70],"by":[71],"Rapid":[72,104],"Miner.":[73],"Multiple":[74],"clustering":[75,86],"methods":[76],"have":[77],"developed.":[79],"two":[83],"types":[84],"of":[85,93],"for":[87],"are":[89],"analyzed.":[90],"One":[91],"area":[92],"mall":[94],"patrons":[95],"was":[96],"evaluated.":[97],"data":[99],"set":[100],"used":[102],"with":[103],"Miner":[105],"tools":[106],"determine":[108],"proper":[110],"cluster.":[111]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-05-03T00:00:00"}
