{"id":"https://openalex.org/W1041903779","doi":"https://doi.org/10.1007/978-3-319-19027-3_1","title":"A Parallel Approach for Decision Trees Learning from Big Data Streams","display_name":"A Parallel Approach for Decision Trees Learning from Big Data Streams","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1041903779","doi":"https://doi.org/10.1007/978-3-319-19027-3_1","mag":"1041903779"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-19027-3_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-19027-3_1","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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 Business Information Processing","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/A5063381854","display_name":"Ionel Tudor Calistru","orcid":null},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Ionel Tudor Calistru","raw_affiliation_strings":["Information Management Institute, University of Neuchatel, Neuchatel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Information Management Institute, University of Neuchatel, Neuchatel, Switzerland","institution_ids":["https://openalex.org/I57825437"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056327164","display_name":"Paul Co\u0163ofrei","orcid":"https://orcid.org/0000-0002-4103-5467"},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Paul Cotofrei","raw_affiliation_strings":["Information Management Institute, University of Neuchatel, Neuchatel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Information Management Institute, University of Neuchatel, Neuchatel, Switzerland","institution_ids":["https://openalex.org/I57825437"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112472567","display_name":"Kilian Stoffel","orcid":null},"institutions":[{"id":"https://openalex.org/I57825437","display_name":"University of Neuch\u00e2tel","ror":"https://ror.org/00vasag41","country_code":"CH","type":"education","lineage":["https://openalex.org/I57825437"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Kilian Stoffel","raw_affiliation_strings":["Information Management Institute, University of Neuchatel, Neuchatel, Switzerland"],"affiliations":[{"raw_affiliation_string":"Information Management Institute, University of Neuchatel, Neuchatel, Switzerland","institution_ids":["https://openalex.org/I57825437"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5063381854"],"corresponding_institution_ids":["https://openalex.org/I57825437"],"apc_list":null,"apc_paid":null,"fwci":0.6828,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67274912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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/T12535","display_name":"Machine Learning and Data Classification","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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9855999946594238,"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":0.8317312598228455},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.7171370387077332},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6371026635169983},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6173089742660522},{"id":"https://openalex.org/keywords/id3-algorithm","display_name":"ID3 algorithm","score":0.6140629649162292},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5277284383773804},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.510525107383728},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.49909210205078125},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4790824055671692},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4548613727092743},{"id":"https://openalex.org/keywords/incremental-decision-tree","display_name":"Incremental decision tree","score":0.4545747637748718},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.40808185935020447},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3671654760837555},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3646664023399353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.332547664642334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0946953296661377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317312598228455},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.7171370387077332},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6371026635169983},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6173089742660522},{"id":"https://openalex.org/C183931066","wikidata":"https://www.wikidata.org/wiki/Q1653378","display_name":"ID3 algorithm","level":5,"score":0.6140629649162292},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5277284383773804},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.510525107383728},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.49909210205078125},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4790824055671692},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4548613727092743},{"id":"https://openalex.org/C10229987","wikidata":"https://www.wikidata.org/wiki/Q17083028","display_name":"Incremental decision tree","level":4,"score":0.4545747637748718},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.40808185935020447},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3671654760837555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3646664023399353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.332547664642334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0946953296661377},{"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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-19027-3_1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-19027-3_1","pdf_url":null,"source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"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 Business Information Processing","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":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W50716973","https://openalex.org/W1483135265","https://openalex.org/W1489069776","https://openalex.org/W1575085314","https://openalex.org/W1594031697","https://openalex.org/W1598873931","https://openalex.org/W1923000725","https://openalex.org/W1987356990","https://openalex.org/W2008183828","https://openalex.org/W2010657328","https://openalex.org/W2016159616","https://openalex.org/W2016544456","https://openalex.org/W2049151032","https://openalex.org/W2050880745","https://openalex.org/W2068714596","https://openalex.org/W2103012681","https://openalex.org/W2124357902","https://openalex.org/W2125055259","https://openalex.org/W2125816831","https://openalex.org/W2135335717","https://openalex.org/W2152837238","https://openalex.org/W2158574565","https://openalex.org/W2173213060","https://openalex.org/W2361024996","https://openalex.org/W2538246427","https://openalex.org/W3085162807","https://openalex.org/W4233413206","https://openalex.org/W4297957988"],"related_works":["https://openalex.org/W2811372817","https://openalex.org/W2030894524","https://openalex.org/W2120748120","https://openalex.org/W1648970942","https://openalex.org/W2188355725","https://openalex.org/W2348694184","https://openalex.org/W2545418239","https://openalex.org/W2802270809","https://openalex.org/W1982169401","https://openalex.org/W2055743632"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
