{"id":"https://openalex.org/W4390050256","doi":"https://doi.org/10.1007/s11227-023-05822-y","title":"An efficient meta-heuristic algorithm based on water flow optimizer for data clustering","display_name":"An efficient meta-heuristic algorithm based on water flow optimizer for data clustering","publication_year":2023,"publication_date":"2023-12-21","ids":{"openalex":"https://openalex.org/W4390050256","doi":"https://doi.org/10.1007/s11227-023-05822-y"},"language":"en","primary_location":{"id":"doi:10.1007/s11227-023-05822-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-023-05822-y","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-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/A5009953132","display_name":"Ramesh Chandra Sahoo","orcid":"https://orcid.org/0000-0003-0296-8106"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ramesh Chandra Sahoo","raw_affiliation_strings":["Department of CSE, MRIIRS, Faridabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, MRIIRS, Faridabad, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114039236","display_name":"T. Vinoth Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapas Kumar","raw_affiliation_strings":["Department of CSE, MRIIRS, Faridabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, MRIIRS, Faridabad, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079366608","display_name":"Poonam Tanwar","orcid":"https://orcid.org/0000-0001-8158-9432"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poonam Tanwar","raw_affiliation_strings":["Department of CSE, MRIIRS, Faridabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, MRIIRS, Faridabad, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067904089","display_name":"Jyoti Pruthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jyoti Pruthi","raw_affiliation_strings":["Department of CST, MRU, Faridabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CST, MRU, Faridabad, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104217881","display_name":"Sanjay Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sanjay Singh","raw_affiliation_strings":["Department of CST, MRU, Faridabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CST, MRU, Faridabad, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5009953132"],"corresponding_institution_ids":["https://openalex.org/I55016150"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":0.9865,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7983876,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"80","issue":"8","first_page":"10301","last_page":"10326"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9972000122070312,"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":0.9922999739646912,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8789569735527039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8636784553527832},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.657736599445343},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6072722673416138},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.5970022678375244},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.5677496194839478},{"id":"https://openalex.org/keywords/data-stream-clustering","display_name":"Data stream clustering","score":0.5432965755462646},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.512568473815918},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.466594934463501},{"id":"https://openalex.org/keywords/determining-the-number-of-clusters-in-a-data-set","display_name":"Determining the number of clusters in a data set","score":0.45114704966545105},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44459348917007446},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.43839022517204285},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42277947068214417},{"id":"https://openalex.org/keywords/constrained-clustering","display_name":"Constrained clustering","score":0.41114482283592224},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22037294507026672}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8789569735527039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8636784553527832},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.657736599445343},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6072722673416138},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.5970022678375244},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.5677496194839478},{"id":"https://openalex.org/C193143536","wikidata":"https://www.wikidata.org/wiki/Q5227360","display_name":"Data stream clustering","level":5,"score":0.5432965755462646},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.512568473815918},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.466594934463501},{"id":"https://openalex.org/C149872217","wikidata":"https://www.wikidata.org/wiki/Q5265701","display_name":"Determining the number of clusters in a data set","level":5,"score":0.45114704966545105},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44459348917007446},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43839022517204285},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42277947068214417},{"id":"https://openalex.org/C27964816","wikidata":"https://www.wikidata.org/wiki/Q5164359","display_name":"Constrained clustering","level":5,"score":0.41114482283592224},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22037294507026672}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11227-023-05822-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11227-023-05822-y","pdf_url":null,"source":{"id":"https://openalex.org/S32326811","display_name":"The Journal of Supercomputing","issn_l":"0920-8542","issn":["0920-8542","1573-0484"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Journal of Supercomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2008389462","https://openalex.org/W2008544824","https://openalex.org/W2011430131","https://openalex.org/W2014090162","https://openalex.org/W2018040777","https://openalex.org/W2029773199","https://openalex.org/W2065454702","https://openalex.org/W2098477891","https://openalex.org/W2167638481","https://openalex.org/W2247167922","https://openalex.org/W2523389870","https://openalex.org/W2619700212","https://openalex.org/W2733722625","https://openalex.org/W2768006893","https://openalex.org/W2804554964","https://openalex.org/W2888022229","https://openalex.org/W2965571803","https://openalex.org/W2996893810","https://openalex.org/W3092694850","https://openalex.org/W3096331175","https://openalex.org/W3116298763","https://openalex.org/W3118517084","https://openalex.org/W3121117041","https://openalex.org/W3121417152","https://openalex.org/W3127820876","https://openalex.org/W3128686691","https://openalex.org/W3136399425","https://openalex.org/W3155421188","https://openalex.org/W3178678860","https://openalex.org/W3199450977","https://openalex.org/W3200866700","https://openalex.org/W4205309056","https://openalex.org/W4205591340","https://openalex.org/W4206970937","https://openalex.org/W4210445739","https://openalex.org/W4210705591","https://openalex.org/W4212817512","https://openalex.org/W4213166675","https://openalex.org/W4214582646","https://openalex.org/W4225475220","https://openalex.org/W4281672126","https://openalex.org/W4372232603","https://openalex.org/W4384557510"],"related_works":["https://openalex.org/W2160785859","https://openalex.org/W2559422900","https://openalex.org/W2770741777","https://openalex.org/W3140018618","https://openalex.org/W2188840951","https://openalex.org/W2171610853","https://openalex.org/W2185849206","https://openalex.org/W2202413591","https://openalex.org/W2393816671","https://openalex.org/W2389934482"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}