{"id":"https://openalex.org/W93595780","doi":"https://doi.org/10.1007/0-306-46991-x_10","title":"Amalgamation of Statistics and Data Mining Techniques: Explorations in Customer Lifetime Value Modeling","display_name":"Amalgamation of Statistics and Data Mining Techniques: Explorations in Customer Lifetime Value Modeling","publication_year":2005,"publication_date":"2005-12-29","ids":{"openalex":"https://openalex.org/W93595780","doi":"https://doi.org/10.1007/0-306-46991-x_10","mag":"93595780"},"language":"en","primary_location":{"id":"doi:10.1007/0-306-46991-x_10","doi":"https://doi.org/10.1007/0-306-46991-x_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-306-46991-x_10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Series in Engineering and Computer Science","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W655982622","display_name":"Knowledge Discovery for Business Information Systems"},"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/A5015184631","display_name":"D.R. Mani","orcid":"https://orcid.org/0000-0003-3914-133X","observed_orcids":["https://orcid.org/0000-0003-3914-133X"]},"institutions":[{"id":"https://openalex.org/I4388891836","display_name":"GTE (United States)","ror":"https://ror.org/03ek3rf92","country_code":"US","type":"company","lineage":["https://openalex.org/I4388891836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"D. R. Mani","raw_affiliation_strings":["GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA","institution_ids":["https://openalex.org/I4388891836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103706025","display_name":"James Howard Drew","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4388891836","display_name":"GTE (United States)","ror":"https://ror.org/03ek3rf92","country_code":"US","type":"company","lineage":["https://openalex.org/I4388891836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James Drew","raw_affiliation_strings":["GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA","institution_ids":["https://openalex.org/I4388891836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085923608","display_name":"Andrew L. Betz","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4388891836","display_name":"GTE (United States)","ror":"https://ror.org/03ek3rf92","country_code":"US","type":"company","lineage":["https://openalex.org/I4388891836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Betz","raw_affiliation_strings":["GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA","institution_ids":["https://openalex.org/I4388891836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089496691","display_name":"Piew Datta","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4388891836","display_name":"GTE (United States)","ror":"https://ror.org/03ek3rf92","country_code":"US","type":"company","lineage":["https://openalex.org/I4388891836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Piew Datta","raw_affiliation_strings":["GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GTE Laboratories Incorporated, 40 Sylvan Road, Waltham, MA, 02451, USA","institution_ids":["https://openalex.org/I4388891836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4388891836"],"apc_list":null,"apc_paid":null,"fwci":2.013,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.84529875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"229","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":9.999999747378752e-05,"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/T13141","display_name":"Statistical Methods and Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/customer-lifetime-value","display_name":"customer lifetime value","score":0.9589999914169312},{"id":"https://openalex.org/keywords/data-mining","display_name":"data mining","score":0.5920000076293945},{"id":"https://openalex.org/keywords/statistical-modeling","display_name":"statistical modeling","score":0.6230000257492065},{"id":"https://openalex.org/keywords/model-interpretability","display_name":"model interpretability","score":0.847000002861023},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8370000123977661},{"id":"https://openalex.org/keywords/gte","display_name":"GTE","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7064102292060852},{"id":"https://openalex.org/C171018156","wikidata":"https://www.wikidata.org/wiki/Q7370306","display_name":"Rotation formalisms in three dimensions","level":2,"score":0.6498143076896667},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6471249461174011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6015866994857788},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5971702337265015},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5820273160934448},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49619394540786743},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.44947782158851624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3280631899833679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32563427090644836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11207431554794312},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08472797274589539},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/0-306-46991-x_10","doi":"https://doi.org/10.1007/0-306-46991-x_10","is_oa":false,"landing_page_url":"https://doi.org/10.1007/0-306-46991-x_10","pdf_url":null,"source":{"id":"https://openalex.org/S4306463519","display_name":"Kluwer Academic Publishers eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The International Series in Engineering and Computer Science","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":23,"referenced_works":["https://openalex.org/W1510014385","https://openalex.org/W1569279788","https://openalex.org/W1580788756","https://openalex.org/W1965906341","https://openalex.org/W1979300931","https://openalex.org/W1992305776","https://openalex.org/W1994670953","https://openalex.org/W2002011878","https://openalex.org/W2051608588","https://openalex.org/W2109533003","https://openalex.org/W2124776405","https://openalex.org/W2130351314","https://openalex.org/W2136883754","https://openalex.org/W2137983211","https://openalex.org/W2139921829","https://openalex.org/W2151058089","https://openalex.org/W2152064955","https://openalex.org/W2314078423","https://openalex.org/W2796537448","https://openalex.org/W2797482815","https://openalex.org/W3041047318","https://openalex.org/W3147894994","https://openalex.org/W4229723287"],"related_works":["https://openalex.org/W2894214389","https://openalex.org/W2584654421","https://openalex.org/W1588664955","https://openalex.org/W1992978513","https://openalex.org/W1816310092","https://openalex.org/W1590308217","https://openalex.org/W82398216","https://openalex.org/W2129294221","https://openalex.org/W7100600822","https://openalex.org/W3145389513"],"abstract_inverted_index":{"We":[0,27],"illustrate":[1],"how":[2,29],"one":[3],"can":[4,42],"exploit":[5],"the":[6,45,73],"complementary":[7],"strengths":[8],"of":[9,75],"Statistics":[10],"and":[11,20,63],"Data":[12],"Mining":[13],"techniques":[14],"to":[15,59],"build":[16],"accurate,":[17,30],"intuitively":[18],"understandable":[19],"ultimately":[21],"actionable":[22],"models":[23,33,51],"for":[24,79],"business":[25,56,64],"problems.":[26],"show":[28],"but":[31],"not-so-transparent,":[32],"built":[34],"by":[35],"data":[36],"mining":[37],"algorithms":[38],"(like":[39],"neural":[40],"networks)":[41],"be":[43,70],"understood\u2014and":[44],"interesting":[46],"patterns":[47],"captured":[48],"in":[49,54,72],"these":[50],"appropriately":[52],"used":[53],"a":[55],"context\u2014by":[57],"bringing":[58],"bear":[60],"statistical":[61],"formalisms":[62],"domain":[65],"knowledge.":[66],"The":[67],"work":[68],"will":[69],"presented":[71],"context":[74],"lifetime":[76],"value":[77],"modeling":[78],"GTE":[80],"cellular":[81],"telephone":[82],"subscribers.":[83]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
