{"id":"https://openalex.org/W3048556888","doi":"https://doi.org/10.1007/978-3-030-49336-3_14","title":"Analyzing and Enhancing Processing Speed of K-Medoid Algorithm Using Efficient Large Scale Processing Frameworks","display_name":"Analyzing and Enhancing Processing Speed of K-Medoid Algorithm Using Efficient Large Scale Processing Frameworks","publication_year":2020,"publication_date":"2020-08-12","ids":{"openalex":"https://openalex.org/W3048556888","doi":"https://doi.org/10.1007/978-3-030-49336-3_14","mag":"3048556888"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-49336-3_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-49336-3_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","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/A5023830760","display_name":"Ayshwarya Jaiswal","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ayshwarya Jaiswal","raw_affiliation_strings":["UCER, Prayagraj, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"UCER, Prayagraj, Uttar Pradesh, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030027899","display_name":"Vijay Kumar Dwivedi","orcid":"https://orcid.org/0000-0002-7228-9670"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vijay Kumar Dwivedi","raw_affiliation_strings":["UCER, Prayagraj, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"UCER, Prayagraj, Uttar Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024224693","display_name":"Om Prakash Yadav","orcid":"https://orcid.org/0000-0003-0670-0238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Om. Prakash Yadav","raw_affiliation_strings":["UCER, Prayagraj, Uttar Pradesh, India"],"affiliations":[{"raw_affiliation_string":"UCER, Prayagraj, Uttar Pradesh, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023830760"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13183767,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"134","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9848999977111816,"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":0.9848999977111816,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9674999713897705,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/medoid","display_name":"Medoid","score":0.9867781400680542},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6990325450897217},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6684610247612},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6614331007003784},{"id":"https://openalex.org/keywords/k-medoids","display_name":"k-medoids","score":0.6038825511932373},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49469897150993347},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.48370081186294556},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4553322494029999},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.42363429069519043},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21854248642921448},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19939061999320984},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.08892250061035156},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.06992471218109131},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.06578299403190613}],"concepts":[{"id":"https://openalex.org/C63085389","wikidata":"https://www.wikidata.org/wiki/Q4287912","display_name":"Medoid","level":3,"score":0.9867781400680542},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6990325450897217},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684610247612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6614331007003784},{"id":"https://openalex.org/C65932786","wikidata":"https://www.wikidata.org/wiki/Q3191282","display_name":"k-medoids","level":5,"score":0.6038825511932373},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49469897150993347},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.48370081186294556},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4553322494029999},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.42363429069519043},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21854248642921448},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19939061999320984},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.08892250061035156},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.06992471218109131},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.06578299403190613},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-49336-3_14","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-49336-3_14","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W27106221","https://openalex.org/W1937348540","https://openalex.org/W1968569790","https://openalex.org/W1998856669","https://openalex.org/W2015066715","https://openalex.org/W2182068438","https://openalex.org/W2477185808","https://openalex.org/W2509165204","https://openalex.org/W2579583823","https://openalex.org/W2583764785","https://openalex.org/W2744226525","https://openalex.org/W2769842586","https://openalex.org/W2782959932","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3133849001","https://openalex.org/W1481798977","https://openalex.org/W2380053301","https://openalex.org/W4225615903","https://openalex.org/W2143329214","https://openalex.org/W2758138366","https://openalex.org/W2605300748","https://openalex.org/W2393988099","https://openalex.org/W2083620785","https://openalex.org/W2100425112"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}