{"id":"https://openalex.org/W4400656198","doi":"https://doi.org/10.1007/978-981-97-4985-0_18","title":"Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in\u00a0Big-Means","display_name":"Superior Parallel Big Data Clustering Through Competitive Stochastic Sample Size Optimization in\u00a0Big-Means","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4400656198","doi":"https://doi.org/10.1007/978-981-97-4985-0_18"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-97-4985-0_18","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-97-4985-0_18","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-97-4985-0_18.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-981-97-4985-0_18.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031261567","display_name":"Rustam Mussabayev","orcid":"https://orcid.org/0000-0001-7283-5144"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ","US"],"is_corresponding":false,"raw_author_name":"Rustam Mussabayev","raw_affiliation_strings":["Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-7283-5144","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]},{"raw_affiliation_string":"Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028453492","display_name":"Ravil Mussabayev","orcid":"https://orcid.org/0000-0003-1105-5990"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ","US"],"is_corresponding":true,"raw_author_name":"Rustam Mussabayev","raw_affiliation_strings":["Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0001-7283-5144","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]},{"raw_affiliation_string":"Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028453492","display_name":"Ravil Mussabayev","orcid":"https://orcid.org/0000-0003-1105-5990"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ","US"],"is_corresponding":true,"raw_author_name":"Ravil Mussabayev","raw_affiliation_strings":["Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-1105-5990","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]},{"raw_affiliation_string":"Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028453492","display_name":"Ravil Mussabayev","orcid":"https://orcid.org/0000-0003-1105-5990"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I204275683","display_name":"Satbayev University","ror":"https://ror.org/020cpsb96","country_code":"KZ","type":"education","lineage":["https://openalex.org/I204275683"]},{"id":"https://openalex.org/I4210135055","display_name":"Institute of Information and Computational Technologies","ror":"https://ror.org/03v6e0k54","country_code":"KZ","type":"facility","lineage":["https://openalex.org/I4210135055"]}],"countries":["KZ","US"],"is_corresponding":false,"raw_author_name":"Ravil Mussabayev","raw_affiliation_strings":["Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan"],"raw_orcid":"https://orcid.org/0000-0003-1105-5990","affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Washington, Padelford Hall C-138, Seattle, WA, 98195-4350, USA","institution_ids":["https://openalex.org/I201448701"]},{"raw_affiliation_string":"Laboratory for Analysis and Modeling of Information Processes, Institute of Information and Computational Technologies, Pushkin Street 125, Almaty, 050010, Kazakhstan","institution_ids":["https://openalex.org/I4210135055"]},{"raw_affiliation_string":"Satbayev University, Satbayev Street 22, Almaty, 050013, Kazakhstan","institution_ids":["https://openalex.org/I204275683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028453492"],"corresponding_institution_ids":["https://openalex.org/I201448701","https://openalex.org/I204275683","https://openalex.org/I4210135055"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":3.4561,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.93079074,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"224","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9970999956130981,"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/T10057","display_name":"Face and Expression Recognition","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8543407917022705},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8315221667289734},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.76154625415802},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7614383697509766},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5851206183433533},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5419008135795593},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5129956603050232},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40412455797195435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28589093685150146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1901184618473053},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10799235105514526}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543407917022705},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8315221667289734},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.76154625415802},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7614383697509766},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5851206183433533},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5419008135795593},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5129956603050232},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40412455797195435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28589093685150146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1901184618473053},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10799235105514526},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-97-4985-0_18","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-97-4985-0_18","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-97-4985-0_18.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-981-97-4985-0_18","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-981-97-4985-0_18","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-981-97-4985-0_18.pdf","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4400656198.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W2011430131","https://openalex.org/W2067191022","https://openalex.org/W2099242680","https://openalex.org/W2108399535","https://openalex.org/W2113076747","https://openalex.org/W2127048411","https://openalex.org/W2131975293","https://openalex.org/W2142838865","https://openalex.org/W2147152072","https://openalex.org/W2150926065","https://openalex.org/W2272004637","https://openalex.org/W2772527255","https://openalex.org/W2787894218","https://openalex.org/W2805169807","https://openalex.org/W3011875066","https://openalex.org/W3102641634","https://openalex.org/W4231029117","https://openalex.org/W4313442728"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Abstract":[0],"This":[1],"paper":[2],"introduces":[3],"a":[4,30,81,110,116],"novel":[5],"K-means":[6],"clustering":[7,106],"algorithm,":[8],"an":[9],"advancement":[10],"on":[11],"the":[12,72,75,92,100],"conventional":[13],"Big-means":[14,93],"methodology.":[15],"The":[16,50],"proposed":[17],"method":[18],"efficiently":[19],"integrates":[20],"parallel":[21,117],"processing,":[22],"stochastic":[23],"sampling,":[24],"and":[25,41,105],"competitive":[26,82,112],"optimization":[27],"to":[28],"create":[29],"scalable":[31],"variant":[32],"designed":[33],"for":[34,56],"big":[35],"data":[36],"applications.":[37],"It":[38],"addresses":[39],"scalability":[40],"computation":[42],"time":[43,104],"challenges":[44],"typically":[45],"faced":[46],"with":[47],"traditional":[48],"techniques.":[49],"algorithm":[51,94,101],"adjusts":[52],"sample":[53,66,88],"sizes":[54,67],"dynamically":[55],"each":[57],"worker":[58],"during":[59],"execution,":[60],"optimizing":[61],"performance.":[62],"Data":[63],"from":[64],"these":[65],"are":[68],"continually":[69],"analyzed,":[70],"facilitating":[71],"identification":[73],"of":[74],"most":[76],"efficient":[77],"configuration.":[78],"By":[79],"incorporating":[80],"element":[83],"among":[84],"workers":[85],"using":[86],"different":[87],"sizes,":[89],"efficiency":[90],"within":[91],"is":[95],"further":[96],"stimulated.":[97],"In":[98],"essence,":[99],"balances":[102],"computational":[103],"quality":[107],"by":[108],"employing":[109],"stochastic,":[111],"sampling":[113],"strategy":[114],"in":[115],"computing":[118],"setting.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}