{"id":"https://openalex.org/W7117986990","doi":"https://doi.org/10.1007/978-3-032-12840-9_40","title":"RadarSeq: A Temporal Vision Framework for\u00a0User Churn Prediction via\u00a0Radar Chart Sequences","display_name":"RadarSeq: A Temporal Vision Framework for\u00a0User Churn Prediction via\u00a0Radar Chart Sequences","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7117986990","doi":"https://doi.org/10.1007/978-3-032-12840-9_40"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-12840-9_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-12840-9_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5121792849","display_name":"Sina Najafi","orcid":null},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sina Najafi","raw_affiliation_strings":["University of East London, London, UK"],"raw_orcid":"https://orcid.org/0009-0006-5840-8000","affiliations":[{"raw_affiliation_string":"University of East London, London, UK","institution_ids":["https://openalex.org/I157227730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121810669","display_name":"M. Hadi Sepanj","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Hadi Sepanj","raw_affiliation_strings":["Systems Design Engineering Department, University of Waterloo, Waterloo, Canada"],"raw_orcid":"https://orcid.org/0009-0005-3481-1930","affiliations":[{"raw_affiliation_string":"Systems Design Engineering Department, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121799397","display_name":"Fahimeh Jafari","orcid":null},"institutions":[{"id":"https://openalex.org/I157227730","display_name":"University of East London","ror":"https://ror.org/057jrqr44","country_code":"GB","type":"education","lineage":["https://openalex.org/I157227730"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fahimeh Jafari","raw_affiliation_strings":["University of East London, London, UK"],"raw_orcid":"https://orcid.org/0000-0001-7366-157X","affiliations":[{"raw_affiliation_string":"University of East London, London, UK","institution_ids":["https://openalex.org/I157227730"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5121792849"],"corresponding_institution_ids":["https://openalex.org/I157227730"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.03120205,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"629","last_page":"646"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.4546999931335449,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.4546999931335449,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.07450000196695328,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12501","display_name":"Digital Economy and Work Transformation","score":0.07100000232458115,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6223000288009644},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.6179999709129333},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.5769000053405762},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5582000017166138},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5485000014305115},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.42399999499320984},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.3968000113964081},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.38760000467300415},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8938000202178955},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6223000288009644},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.5769000053405762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5698999762535095},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5485000014305115},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4666999876499176},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.42399999499320984},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.3968000113964081},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.38760000467300415},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C27209215","wikidata":"https://www.wikidata.org/wiki/Q1192777","display_name":"Radar chart","level":2,"score":0.36739999055862427},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.34700000286102295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.329800009727478},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.30730000138282776},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.303600013256073},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.30090001225471497},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.29899999499320984},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C78639753","wikidata":"https://www.wikidata.org/wiki/Q3318160","display_name":"Behavioral modeling","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2791999876499176},{"id":"https://openalex.org/C83804111","wikidata":"https://www.wikidata.org/wiki/Q1063558","display_name":"Behavioral pattern","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2549999952316284}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-12840-9_40","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-032-12840-9_40","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.6903553009033203,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1912171728","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W1990788070","https://openalex.org/W1998032746","https://openalex.org/W2064675550","https://openalex.org/W2065601393","https://openalex.org/W2067594023","https://openalex.org/W2074780813","https://openalex.org/W2078704831","https://openalex.org/W2080608097","https://openalex.org/W2088337758","https://openalex.org/W2102739522","https://openalex.org/W2107199580","https://openalex.org/W2115482408","https://openalex.org/W2125468234","https://openalex.org/W2136806966","https://openalex.org/W2150593711","https://openalex.org/W2517066960","https://openalex.org/W2734865665","https://openalex.org/W2749765311","https://openalex.org/W2769581371","https://openalex.org/W2799034895","https://openalex.org/W2917819885","https://openalex.org/W2963163009","https://openalex.org/W2963512530","https://openalex.org/W2973496568","https://openalex.org/W2978282037","https://openalex.org/W3012417837","https://openalex.org/W3041280316","https://openalex.org/W3093176731","https://openalex.org/W3123668356","https://openalex.org/W3196722731","https://openalex.org/W4205936864","https://openalex.org/W4234184081","https://openalex.org/W4251440543","https://openalex.org/W4293060239","https://openalex.org/W4303439005","https://openalex.org/W4312838106","https://openalex.org/W4322500510","https://openalex.org/W4323026370","https://openalex.org/W4324104316","https://openalex.org/W4377001831","https://openalex.org/W4384914415","https://openalex.org/W4387571805","https://openalex.org/W4387578636","https://openalex.org/W4389299837","https://openalex.org/W4391482552","https://openalex.org/W4391992377","https://openalex.org/W4392817330","https://openalex.org/W4399054742","https://openalex.org/W4399154552","https://openalex.org/W4399864459","https://openalex.org/W4401393709","https://openalex.org/W4404967268","https://openalex.org/W4406416968","https://openalex.org/W4409012151","https://openalex.org/W4409048296","https://openalex.org/W4409235869","https://openalex.org/W4410205588","https://openalex.org/W4415821191"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2026-01-02T00:00:00"}