{"id":"https://openalex.org/W2784578209","doi":"https://doi.org/10.1007/978-3-319-74718-7_48","title":"Evaluating Parallel Minibatch Training for Machine Learning Applications","display_name":"Evaluating Parallel Minibatch Training for Machine Learning Applications","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2784578209","doi":"https://doi.org/10.1007/978-3-319-74718-7_48","mag":"2784578209"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-74718-7_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-74718-7_48","pdf_url":null,"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":null,"license_id":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012854701","display_name":"Stephan Dreiseitl","orcid":"https://orcid.org/0000-0001-5647-6153"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Stephan Dreiseitl","raw_affiliation_strings":["Department of Software Engineering, FH Upper Austria, 4232, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Software Engineering, FH Upper Austria, 4232, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012854701"],"corresponding_institution_ids":["https://openalex.org/I4210136249"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01641077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"400","last_page":"407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9990000128746033,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9983999729156494,"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":0.9940999746322632,"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":0.8666672706604004},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7356652021408081},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7041118741035461},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6599787473678589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6590554714202881},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.600556492805481},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5880503058433533},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5525140166282654},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5059422850608826},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4412871301174164},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3595784902572632},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2454882562160492},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.07128557562828064}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8666672706604004},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7356652021408081},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7041118741035461},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6599787473678589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6590554714202881},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.600556492805481},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5880503058433533},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5525140166282654},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5059422850608826},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4412871301174164},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3595784902572632},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2454882562160492},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.07128557562828064},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-74718-7_48","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-74718-7_48","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W4919037","https://openalex.org/W796639530","https://openalex.org/W1528076390","https://openalex.org/W1554944419","https://openalex.org/W1975004696","https://openalex.org/W2002352982","https://openalex.org/W2051434435","https://openalex.org/W2051812123","https://openalex.org/W2093367651","https://openalex.org/W2101153329","https://openalex.org/W2102017903","https://openalex.org/W2109135024","https://openalex.org/W2112380340","https://openalex.org/W2119874464","https://openalex.org/W2130062883","https://openalex.org/W2149140091","https://openalex.org/W2157440718","https://openalex.org/W2157462866","https://openalex.org/W2157825442","https://openalex.org/W2163922914","https://openalex.org/W2166706236","https://openalex.org/W2291864985","https://openalex.org/W2787894218","https://openalex.org/W3118608800","https://openalex.org/W4250724818"],"related_works":["https://openalex.org/W2786391746","https://openalex.org/W3132346564","https://openalex.org/W209733029","https://openalex.org/W2891480213","https://openalex.org/W4381430104","https://openalex.org/W4226059458","https://openalex.org/W2914559142","https://openalex.org/W2995102745","https://openalex.org/W1990237101","https://openalex.org/W3118953353"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}