{"id":"https://openalex.org/W3211228424","doi":"https://doi.org/10.1109/icccnt51525.2021.9579887","title":"Probabilistic Density-based Adaptive Clustering for Streaming Data","display_name":"Probabilistic Density-based Adaptive Clustering for Streaming Data","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3211228424","doi":"https://doi.org/10.1109/icccnt51525.2021.9579887","mag":"3211228424"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5057659937","display_name":"A. Karthika Unnithan","orcid":"https://orcid.org/0000-0002-8368-3788"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anandakrishnan Unnithan","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090056066","display_name":"Surya Kiran P","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Surya Kiran P","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087500000","display_name":"L. K. P. Vignesh","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vignesh L","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002540729","display_name":"V. S. Viswanath","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Viswanath V","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034004706","display_name":"Simi Surendran","orcid":"https://orcid.org/0000-0001-7018-9476"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Simi Surendran","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Amritapuri, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.2798,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.65305225,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"27 6","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9952999949455261,"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/T11478","display_name":"Caching and Content Delivery","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.8383195996284485},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8349226713180542},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7011048793792725},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.625800371170044},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5531448721885681},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.49205297231674194},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.46026521921157837},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45522013306617737},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4262392520904541},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.41395413875579834},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.39234820008277893},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.34492015838623047},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23372957110404968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.187680184841156}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8383195996284485},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349226713180542},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7011048793792725},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.625800371170044},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5531448721885681},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.49205297231674194},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.46026521921157837},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45522013306617737},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4262392520904541},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.41395413875579834},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.39234820008277893},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.34492015838623047},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23372957110404968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.187680184841156},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579887","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":17,"referenced_works":["https://openalex.org/W1571941681","https://openalex.org/W1976383685","https://openalex.org/W2045938006","https://openalex.org/W2088340225","https://openalex.org/W2092335550","https://openalex.org/W2105416473","https://openalex.org/W2170936641","https://openalex.org/W2537240387","https://openalex.org/W2803192575","https://openalex.org/W2963470891","https://openalex.org/W2977771117","https://openalex.org/W2990525776","https://openalex.org/W3047576241","https://openalex.org/W3082602480","https://openalex.org/W4294099843","https://openalex.org/W6634297831","https://openalex.org/W6658418283"],"related_works":["https://openalex.org/W3071522575","https://openalex.org/W2117838073","https://openalex.org/W2892323093","https://openalex.org/W2556490192","https://openalex.org/W3140018618","https://openalex.org/W2143402976","https://openalex.org/W2361242132","https://openalex.org/W2353443653","https://openalex.org/W2358627945","https://openalex.org/W2596632494"],"abstract_inverted_index":{"The":[0,18,111],"Internet":[1],"of":[2,28,54,92,139],"Things(IoT)":[3],"has":[4,113],"been":[5],"applied":[6],"in":[7,15,21,42,59,98],"many":[8,49],"real-world":[9],"scenarios":[10],"to":[11,38,44],"provide":[12],"intelligent":[13],"solutions":[14],"recent":[16],"years.":[17],"biggest":[19],"challenge":[20],"these":[22],"applications":[23],"is":[24,57,72],"the":[25,32,70,90,102,134,137,140],"enormous":[26],"volume":[27],"data":[29,41,56,68,87,120],"generated":[30,55],"from":[31],"devices.":[33],"Adequate":[34],"mechanisms":[35],"are":[36,64,104],"demanded":[37],"process":[39],"this":[40],"real-time":[43],"generate":[45],"valuable":[46],"information.":[47],"In":[48,100],"IoT":[50,86,119],"scenarios,":[51],"a":[52,81,108],"grouping":[53,67],"effective":[58],"deriving":[60],"insights.":[61],"Clustering":[62],"techniques":[63],"beneficial":[65],"for":[66,85],"when":[69],"label":[71],"partially":[73],"or":[74],"fully":[75],"not":[76,95],"available.":[77],"This":[78],"paper":[79],"proposes":[80],"probabilistic":[82],"clustering":[83,142],"algorithm":[84],"streams,":[88],"where":[89],"number":[91],"clusters":[93,103],"need":[94],"be":[96],"defined":[97],"advance.":[99],"addition,":[101],"managed":[105],"adaptively":[106],"using":[107],"maintenance":[109],"system.":[110],"model":[112],"experimented":[114],"with":[115,130],"two":[116],"publicly":[117],"available":[118],"sets:":[121],"weather":[122],"and":[123,133],"pollution":[124],"data.":[125],"We":[126],"compared":[127],"cluster":[128],"quality":[129],"existing":[131],"algorithms,":[132],"results":[135],"demonstrate":[136],"effectiveness":[138],"proposed":[141],"scheme.":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
