{"id":"https://openalex.org/W4391094495","doi":"https://doi.org/10.1109/bigdata59044.2023.10386118","title":"An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams","display_name":"An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391094495","doi":"https://doi.org/10.1109/bigdata59044.2023.10386118"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386118","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5102829866","display_name":"Er. Aarti","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aarti","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044760764","display_name":"Jagat Sesh Challa","orcid":"https://orcid.org/0000-0002-9794-0087"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jagat Sesh Challa","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093760406","display_name":"Utkarsh Darolia","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Utkarsh Darolia","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111116091","display_name":"Mridul Chandak","orcid":null},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mridul Chandak","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027120172","display_name":"Poonam Goyal","orcid":"https://orcid.org/0000-0003-1556-9905"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poonam Goyal","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053105431","display_name":"Navneet Goyal","orcid":"https://orcid.org/0000-0002-0006-8211"},"institutions":[{"id":"https://openalex.org/I74796645","display_name":"Birla Institute of Technology and Science, Pilani","ror":"https://ror.org/001p3jz28","country_code":"IN","type":"education","lineage":["https://openalex.org/I74796645"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Navneet Goyal","raw_affiliation_strings":["Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Birla Institute of Technology &#x0026; Science,ADAPT Lab,Dept. of Computer Science, Pilani Campus,Pilani,India,333031","institution_ids":["https://openalex.org/I74796645"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1920951,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"568","last_page":"577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9987999796867371,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.766914427280426},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7027705311775208},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6428685188293457},{"id":"https://openalex.org/keywords/streams","display_name":"STREAMS","score":0.6163458228111267},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5598487257957458},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5395511984825134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5315724611282349},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4702526330947876},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4467933475971222},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3227906823158264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16758516430854797},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.05870971083641052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766914427280426},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7027705311775208},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6428685188293457},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6163458228111267},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5598487257957458},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5395511984825134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5315724611282349},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4702526330947876},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4467933475971222},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3227906823158264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16758516430854797},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.05870971083641052},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386118","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata59044.2023.10386118","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W66323391","https://openalex.org/W182707955","https://openalex.org/W1965028235","https://openalex.org/W1975852288","https://openalex.org/W2015627422","https://openalex.org/W2040900398","https://openalex.org/W2075457099","https://openalex.org/W2117487426","https://openalex.org/W2141245797","https://openalex.org/W2170936641","https://openalex.org/W2408342142","https://openalex.org/W2608540862","https://openalex.org/W2806160505","https://openalex.org/W2902616825","https://openalex.org/W2913153740","https://openalex.org/W3000687564","https://openalex.org/W3139493916","https://openalex.org/W4206741375","https://openalex.org/W4213123767","https://openalex.org/W4242599275","https://openalex.org/W4244494905","https://openalex.org/W4318148054","https://openalex.org/W6602648519"],"related_works":["https://openalex.org/W2010317732","https://openalex.org/W2483328176","https://openalex.org/W2061705145","https://openalex.org/W193205649","https://openalex.org/W45006177","https://openalex.org/W2016919266","https://openalex.org/W1982793386","https://openalex.org/W2537623333","https://openalex.org/W4293083682","https://openalex.org/W2061507057"],"abstract_inverted_index":{"Set-wise":[0,50],"Clustering":[1,51],"is":[2,89,181],"a":[3,70,78],"clustering":[4,34,113,186],"technique":[5],"for":[6,53,131,169,188,199],"data":[7,54],"streams":[8,41,55,150],"that":[9],"groups":[10],"sets":[11],"of":[12,66,80,82,120,141],"objects":[13,68],"based":[14],"on":[15],"distribution":[16],"patterns,":[17],"applicable":[18],"in":[19,145,163],"contexts":[20],"like":[21],"retail":[22],"chain":[23],"clustering,":[24,27],"text-based":[25],"community":[26],"restaurant":[28],"categorization,":[29],"etc.":[30],"The":[31,59,107,134,156,191],"existing":[32],"set-wise":[33],"method":[35,52,60,108,144],"cannot":[36],"handle":[37],"variable":[38,63,147],"and":[39,103,123,148,171],"high-speed":[40,149,172,189],"with":[42,176],"reasonable":[43],"accuracy.":[44],"This":[45,174],"paper":[46],"presents":[47],"an":[48],"Anytime":[49],"known":[56],"as":[57,92],"ANYSETCLUS.":[58],"handles":[61],"the":[62,127,138,142,153,177,195],"inter-arrival":[64],"rates":[65],"stream":[67],"using":[69],"proposed":[71,143,196],"indexing":[72],"structure":[73],"called":[74],"AnySetClusTree,":[75],"which":[76,180],"stores":[77],"hierarchy":[79],"micro-clusters":[81],"multi-set":[83],"entities":[84],"at":[85],"varying":[86,121],"granularity.":[87],"ANYSETCLUS":[88],"highly":[90],"adaptive":[91],"it":[93,115],"supports":[94],"incremental":[95],"model":[96],"updates,":[97],"segregates":[98],"outliers,":[99],"enables":[100,110],"outlier-to-concept":[101],"transition,":[102],"captures":[104],"concept":[105],"drift.":[106],"also":[109,159],"anytime":[111,200],"offline":[112,201],"wherein":[114],"can":[116],"generate":[117,184],"multiple":[118],"clusterings":[119],"granularity":[122],"purity":[124,168],"depending":[125],"upon":[126],"available":[128],"time":[129],"allowance":[130],"final":[132],"clustering.":[133,202],"experimental":[135,157],"results":[136,158,187],"affirm":[137],"superior":[139],"efficacy":[140],"handling":[146],"compared":[151],"to":[152,183],"state-of-the-art":[154,178],"method.":[155],"showcase":[160],"its":[161],"effectiveness":[162],"achieving":[164],"significantly":[165],"higher":[166],"micro-cluster":[167],"low":[170],"streams.":[173,190],"contrasts":[175],"method,":[179],"unable":[182],"valid":[185],"experiments":[192],"further":[193],"validate":[194],"method\u2019s":[197],"capability":[198]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
