{"id":"https://openalex.org/W3167292955","doi":"https://doi.org/10.1007/s00607-021-00965-3","title":"Screening hardware and volume factors in distributed machine learning algorithms on spark","display_name":"Screening hardware and volume factors in distributed machine learning algorithms on spark","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3167292955","doi":"https://doi.org/10.1007/s00607-021-00965-3","mag":"3167292955"},"language":"en","primary_location":{"id":"doi:10.1007/s00607-021-00965-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-021-00965-3","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"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":"Computing","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/A5090237722","display_name":"Jairson Barbosa Rodrigues","orcid":"https://orcid.org/0000-0003-1176-3903"},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jairson B. Rodrigues","raw_affiliation_strings":["Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-1176-3903","affiliations":[{"raw_affiliation_string":"Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083952644","display_name":"Germano C. Vasconcelos","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Germano C. Vasconcelos","raw_affiliation_strings":["Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108071751","display_name":"Paulo Romero Martins Maciel","orcid":null},"institutions":[{"id":"https://openalex.org/I25112270","display_name":"Universidade Federal de Pernambuco","ror":"https://ror.org/047908t24","country_code":"BR","type":"education","lineage":["https://openalex.org/I25112270"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Paulo R. M. Maciel","raw_affiliation_strings":["Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Informatics, Federal University of Pernambuco, Av. Jornalista An\u00edbal Fernandes, S/N, Cidade Universit\u00e1ria 50., 740-560, Recife, PE, Brazil","institution_ids":["https://openalex.org/I25112270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090237722"],"corresponding_institution_ids":["https://openalex.org/I25112270"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.3108,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83086756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"103","issue":"10","first_page":"2203","last_page":"2225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9954000115394592,"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":0.9879999756813049,"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":0.706047534942627},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.7003753185272217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6480468511581421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6346049904823303},{"id":"https://openalex.org/keywords/fractional-factorial-design","display_name":"Fractional factorial design","score":0.5385128259658813},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.5308640599250793},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5293391942977905},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5257782936096191},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4930059611797333},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.47129595279693604},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.47013527154922485},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44883155822753906},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4459545910358429},{"id":"https://openalex.org/keywords/adaboost","display_name":"AdaBoost","score":0.4203704595565796},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33798497915267944},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.31865203380584717},{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.22796478867530823}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.706047534942627},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.7003753185272217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6480468511581421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6346049904823303},{"id":"https://openalex.org/C16469947","wikidata":"https://www.wikidata.org/wiki/Q2400745","display_name":"Fractional factorial design","level":3,"score":0.5385128259658813},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.5308640599250793},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5293391942977905},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5257782936096191},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4930059611797333},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.47129595279693604},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.47013527154922485},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44883155822753906},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4459545910358429},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.4203704595565796},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33798497915267944},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.31865203380584717},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.22796478867530823},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00607-021-00965-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00607-021-00965-3","pdf_url":null,"source":{"id":"https://openalex.org/S35593046","display_name":"Computing","issn_l":"0010-485X","issn":["0010-485X","1436-5057"],"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":"Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W107711226","https://openalex.org/W129305155","https://openalex.org/W159719520","https://openalex.org/W417266313","https://openalex.org/W1130270400","https://openalex.org/W1542057119","https://openalex.org/W1549998098","https://openalex.org/W1550206324","https://openalex.org/W1834532152","https://openalex.org/W1861377444","https://openalex.org/W1918839972","https://openalex.org/W1925579137","https://openalex.org/W1967109380","https://openalex.org/W1973948212","https://openalex.org/W1975215428","https://openalex.org/W2026817215","https://openalex.org/W2040728701","https://openalex.org/W2040870580","https://openalex.org/W2047046780","https://openalex.org/W2079537749","https://openalex.org/W2091351040","https://openalex.org/W2092993939","https://openalex.org/W2095478116","https://openalex.org/W2119565742","https://openalex.org/W2119821739","https://openalex.org/W2126623642","https://openalex.org/W2131975293","https://openalex.org/W2153829923","https://openalex.org/W2173213060","https://openalex.org/W2190012392","https://openalex.org/W2197093440","https://openalex.org/W2197738759","https://openalex.org/W2202763494","https://openalex.org/W2306821251","https://openalex.org/W2309679942","https://openalex.org/W2326236514","https://openalex.org/W2332288588","https://openalex.org/W2406663573","https://openalex.org/W2432436793","https://openalex.org/W2498119267","https://openalex.org/W2520807383","https://openalex.org/W2555053211","https://openalex.org/W2596320609","https://openalex.org/W2794619653","https://openalex.org/W2810302553","https://openalex.org/W2887518549","https://openalex.org/W2900705947","https://openalex.org/W2923916029","https://openalex.org/W2962202409","https://openalex.org/W2963100393","https://openalex.org/W2970423450","https://openalex.org/W2971889596","https://openalex.org/W2989539713","https://openalex.org/W2991157178","https://openalex.org/W2997531210","https://openalex.org/W3100711529","https://openalex.org/W4239545511","https://openalex.org/W4251817184","https://openalex.org/W4253133244","https://openalex.org/W4298197736","https://openalex.org/W4398229021","https://openalex.org/W6604529977","https://openalex.org/W6963823703"],"related_works":["https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2905242764","https://openalex.org/W4391094140","https://openalex.org/W3039673966","https://openalex.org/W3109411864","https://openalex.org/W3017846737","https://openalex.org/W4293699968","https://openalex.org/W2911634592"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
