{"id":"https://openalex.org/W1969959890","doi":"https://doi.org/10.1145/2393216.2393263","title":"Optimized feature extraction and actionable knowledge discovery for Customer Relationship Management (CRM)","display_name":"Optimized feature extraction and actionable knowledge discovery for Customer Relationship Management (CRM)","publication_year":2012,"publication_date":"2012-10-26","ids":{"openalex":"https://openalex.org/W1969959890","doi":"https://doi.org/10.1145/2393216.2393263","mag":"1969959890"},"language":"en","primary_location":{"id":"doi:10.1145/2393216.2393263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","raw_type":"proceedings-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/A5023703545","display_name":"P. Senthil Vadivu","orcid":null},"institutions":[{"id":"https://openalex.org/I43663321","display_name":"Hindustan Institute of Technology and Science","ror":"https://ror.org/037tgdn13","country_code":"IN","type":"education","lineage":["https://openalex.org/I43663321"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"P. Senthil Vadivu","raw_affiliation_strings":["Hindusthan College Of Arts and Science, Coimbatore, Tamil Nadu, India","Hindusthan College Of Arts and Science, Coimbatore, Tamil Nadu, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Hindusthan College Of Arts and Science, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I43663321"]},{"raw_affiliation_string":"Hindusthan College Of Arts and Science, Coimbatore, Tamil Nadu, India#TAB#","institution_ids":["https://openalex.org/I43663321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064341277","display_name":"Vasantha Kalyani David","orcid":null},"institutions":[{"id":"https://openalex.org/I161045824","display_name":"Avinashilingam University","ror":"https://ror.org/05dxzqa20","country_code":"IN","type":"education","lineage":["https://openalex.org/I161045824"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vasantha Kalyani David","raw_affiliation_strings":["Avinashilingam Deemed University, Coimbatore, Tamil Nadu, India","Avinashilingam Deemed University, Coimbatore, Tamil Nadu, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Avinashilingam Deemed University, Coimbatore, Tamil Nadu, India","institution_ids":["https://openalex.org/I161045824"]},{"raw_affiliation_string":"Avinashilingam Deemed University, Coimbatore, Tamil Nadu, India#TAB#","institution_ids":["https://openalex.org/I161045824"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023703545"],"corresponding_institution_ids":["https://openalex.org/I43663321"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13754818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"275","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9994000196456909,"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/T12384","display_name":"Customer churn and segmentation","score":0.9975000023841858,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/knowledge-extraction","display_name":"Knowledge extraction","score":0.7142231464385986},{"id":"https://openalex.org/keywords/customer-relationship-management","display_name":"Customer relationship management","score":0.7129128575325012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6294785737991333},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5923730134963989},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.527036726474762},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.45603784918785095},{"id":"https://openalex.org/keywords/customer-intelligence","display_name":"Customer intelligence","score":0.4207346439361572},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4173431396484375},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.41689449548721313},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41077959537506104},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3899906873703003},{"id":"https://openalex.org/keywords/customer-retention","display_name":"Customer retention","score":0.38913071155548096},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22371408343315125},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1772078275680542},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1153002679347992},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.1124495267868042},{"id":"https://openalex.org/keywords/service-quality","display_name":"Service quality","score":0.08887770771980286}],"concepts":[{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.7142231464385986},{"id":"https://openalex.org/C98825075","wikidata":"https://www.wikidata.org/wiki/Q485643","display_name":"Customer relationship management","level":2,"score":0.7129128575325012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294785737991333},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5923730134963989},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.527036726474762},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.45603784918785095},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.4207346439361572},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4173431396484375},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.41689449548721313},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41077959537506104},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3899906873703003},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.38913071155548096},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22371408343315125},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1772078275680542},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1153002679347992},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.1124495267868042},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.08887770771980286},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2393216.2393263","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393263","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W4071280","https://openalex.org/W20184837","https://openalex.org/W1506285740","https://openalex.org/W1546088349","https://openalex.org/W2096451472","https://openalex.org/W2113076747","https://openalex.org/W2137918313","https://openalex.org/W2152489256","https://openalex.org/W2153028052"],"related_works":["https://openalex.org/W1970053881","https://openalex.org/W1973295013","https://openalex.org/W2385901836","https://openalex.org/W1595134686","https://openalex.org/W2184573879","https://openalex.org/W2124748206","https://openalex.org/W4244653254","https://openalex.org/W3017160372","https://openalex.org/W2552443160","https://openalex.org/W2368761584"],"abstract_inverted_index":{"Data":[0],"mining":[1,51,59],"techniques":[2,99],"to":[3,60,75,108,131],"customer":[4,33,62],"relationship":[5],"management":[6],"(CRM),":[7,74],"is":[8,11,89,123],"that":[9,28,67,103],"there":[10],"a":[12,15,20,90,119],"lack":[13],"of":[14,32],"comprehensive":[16],"literature":[17],"review":[18],"and":[19,40,82,130],"classification":[21],"scheme":[22],"for":[23,49,64,92,125],"it.":[24],"This":[25],"paper":[26],"indicate":[27],"the":[29,44,110,126,133],"research":[30,37],"area":[31],"retention":[34],"received":[35],"most":[36],"attention.":[38],"Classification":[39],"Association":[41],"models":[42,48,63],"are":[43,55,68,80,84],"two":[45],"commonly":[46],"used":[47,56,69],"data":[50,58],"in":[52,57,70],"CRM.":[53],"Algorithms":[54],"discover":[61],"distribution":[65],"information,":[66],"Customer":[71],"Relationship":[72],"Management":[73],"point":[76],"out":[77],"customers":[78],"who":[79,83],"loyal":[81],"attritors,":[85],"but":[86],"human":[87],"experts":[88],"must":[91],"discovering":[93],"knowledge":[94],"manually.":[95],"Many":[96],"post":[97],"processing":[98],"have":[100],"been":[101],"introduced":[102],"do":[104],"not":[105],"suggest":[106],"action":[107],"increase":[109,132],"objective":[111],"function":[112],"such":[113],"as":[114],"profit.":[115,134],"In":[116],"this":[117],"paper,":[118],"feature":[120],"extraction":[121],"technique":[122],"proposed":[124],"best":[127],"approximation":[128],"property":[129]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
