{"id":"https://openalex.org/W3175912847","doi":"https://doi.org/10.1109/icccsp52374.2021.9465526","title":"Predicting Customer Behavior by Analyzing Clickstream Data","display_name":"Predicting Customer Behavior by Analyzing Clickstream Data","publication_year":2021,"publication_date":"2021-05-24","ids":{"openalex":"https://openalex.org/W3175912847","doi":"https://doi.org/10.1109/icccsp52374.2021.9465526","mag":"3175912847"},"language":"en","primary_location":{"id":"doi:10.1109/icccsp52374.2021.9465526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccsp52374.2021.9465526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP)","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/A5022307683","display_name":"Manav Gumber","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manav Gumber","raw_affiliation_strings":["SRM Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108738581","display_name":"Apoorv Jain","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Apoorv Jain","raw_affiliation_strings":["SRM Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103036395","display_name":"A. L. Amutha","orcid":null},"institutions":[{"id":"https://openalex.org/I145286018","display_name":"SRM Institute of Science and Technology","ror":"https://ror.org/050113w36","country_code":"IN","type":"education","lineage":["https://openalex.org/I145286018"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A L Amutha","raw_affiliation_strings":["SRM Institute of Science and Technology, Chennai, India"],"affiliations":[{"raw_affiliation_string":"SRM Institute of Science and Technology, Chennai, India","institution_ids":["https://openalex.org/I145286018"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022307683"],"corresponding_institution_ids":["https://openalex.org/I145286018"],"apc_list":null,"apc_paid":null,"fwci":0.5439,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.72169128,"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":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9980999827384949,"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/T12384","display_name":"Customer churn and segmentation","score":0.9940000176429749,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9832000136375427,"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/clickstream","display_name":"Clickstream","score":0.8627157807350159},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709075212478638},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5987844467163086},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.5810918807983398},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4926920533180237},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.49023181200027466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.470826655626297},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.45231810212135315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39049309492111206},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.25612109899520874},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18526941537857056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.17526382207870483},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1467943787574768},{"id":"https://openalex.org/keywords/web-server","display_name":"Web server","score":0.10425865650177002}],"concepts":[{"id":"https://openalex.org/C138744977","wikidata":"https://www.wikidata.org/wiki/Q5132438","display_name":"Clickstream","level":5,"score":0.8627157807350159},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709075212478638},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5987844467163086},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.5810918807983398},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4926920533180237},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.49023181200027466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.470826655626297},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.45231810212135315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39049309492111206},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.25612109899520874},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18526941537857056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.17526382207870483},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1467943787574768},{"id":"https://openalex.org/C11392498","wikidata":"https://www.wikidata.org/wiki/Q11288","display_name":"Web server","level":3,"score":0.10425865650177002},{"id":"https://openalex.org/C127613066","wikidata":"https://www.wikidata.org/wiki/Q557770","display_name":"Web API","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccsp52374.2021.9465526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccsp52374.2021.9465526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 5th International Conference on Computer, Communication and Signal Processing (ICCCSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1877895303","https://openalex.org/W2010989757","https://openalex.org/W2169139688","https://openalex.org/W2189101383","https://openalex.org/W2412453891","https://openalex.org/W2510476599","https://openalex.org/W2544903690","https://openalex.org/W2623088515","https://openalex.org/W2783256504","https://openalex.org/W2787639032","https://openalex.org/W2894221255","https://openalex.org/W2941258581","https://openalex.org/W2950694267","https://openalex.org/W2962829974","https://openalex.org/W2965243941","https://openalex.org/W2966111606","https://openalex.org/W3015256648","https://openalex.org/W3020252469","https://openalex.org/W4246492733","https://openalex.org/W6687418513","https://openalex.org/W6775608733"],"related_works":["https://openalex.org/W2393964553","https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W2885778889","https://openalex.org/W4310224730","https://openalex.org/W2766514146","https://openalex.org/W4289703016","https://openalex.org/W2885516856"],"abstract_inverted_index":{"Websites,":[0],"these":[1],"days,":[2],"are":[3,11,142,171],"a":[4,26,53,71,94,101,107,129,152,161],"huge":[5],"market":[6,62],"for":[7,110],"many":[8],"things.":[9],"Individuals":[10],"straying":[12],"towards":[13],"web-based":[14],"shopping,":[15],"online":[16,76],"promotions,":[17],"E-commerce,":[18],"and":[19,46,60,98,132,166,173],"so":[20],"forth.":[21],"It":[22],"likewise":[23],"brings":[24],"about":[25],"surplus":[27],"of":[28,50,85,139,168],"unstructured":[29,32],"data.":[30,87],"This":[31,78,104,123],"information,":[33],"when":[34],"utilized":[35],"with":[36],"logical":[37],"analytics,":[38],"can":[39],"help":[40],"in":[41,56,82],"comprehending":[42],"client":[43,72],"conduct.":[44],"Recording":[45],"analyzing":[47],"the":[48,68,83,112,126,140,169],"behavior":[49,114],"users":[51],"is":[52,66,80,93,133],"key":[54],"aspect":[55],"improving":[57],"business":[58],"profit":[59],"its":[61],"coverage.":[63],"A":[64],"clickstream":[65],"essentially":[67],"pathway":[69,79],"that":[70],"takes":[73],"through":[74],"their":[75],"excursion.":[77],"stored":[81],"form":[84],"log":[86],"Training":[88],"models":[89],"using":[90,115,144],"such":[91],"clickstreams":[92],"very":[95],"complex":[96],"process":[97],"predictions":[99],"take":[100],"long":[102],"time.":[103],"paper":[105],"proposes":[106],"novel":[108],"framework":[109],"predicting":[111],"customer":[113],"an":[116],"ensemble":[117],"method":[118],"called":[119],"Extreme":[120,148],"Gradient":[121,149],"Boosting.":[122],"model":[124,141,170],"predicts":[125],"output":[127],"at":[128],"good":[130],"rate":[131],"easy":[134],"to":[135,156],"understand.":[136],"The":[137,164],"parameters":[138],"tuned":[143],"Randomized":[145],"Search":[146],"CV.":[147],"Boosting":[150],"utilizes":[151],"more":[153],"formalized":[154],"paradigm":[155],"manage":[157],"overfitting,":[158],"thereby":[159],"providing":[160],"superior":[162],"performance.":[163],"accuracy":[165],"recall":[167],"85.9%":[172],"91.04%":[174],"respectively.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
