{"id":"https://openalex.org/W2044264678","doi":"https://doi.org/10.1007/s13042-015-0333-x","title":"A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority","display_name":"A novel online ensemble approach to handle concept drifting data streams: diversified dynamic weighted majority","publication_year":2015,"publication_date":"2015-01-30","ids":{"openalex":"https://openalex.org/W2044264678","doi":"https://doi.org/10.1007/s13042-015-0333-x","mag":"2044264678"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-015-0333-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-015-0333-x","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","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/A5030771625","display_name":"Parneeta Sidhu","orcid":"https://orcid.org/0000-0002-5164-0951"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Parneeta Sidhu","raw_affiliation_strings":["Division of CoE, Netaji Subhas Institute of Technology, Sec-3 Dwarka, New Delhi, 110078, India","[Netaji Subhas Institute of Technology]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of CoE, Netaji Subhas Institute of Technology, Sec-3 Dwarka, New Delhi, 110078, India","institution_ids":["https://openalex.org/I36090812"]},{"raw_affiliation_string":"[Netaji Subhas Institute of Technology]","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034398639","display_name":"M. P. S. Bhatia","orcid":"https://orcid.org/0000-0001-7190-9770"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. P. S. Bhatia","raw_affiliation_strings":["Division of CoE, Netaji Subhas Institute of Technology, Sec-3 Dwarka, New Delhi, 110078, India","[Netaji Subhas Institute of Technology]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of CoE, Netaji Subhas Institute of Technology, Sec-3 Dwarka, New Delhi, 110078, India","institution_ids":["https://openalex.org/I36090812"]},{"raw_affiliation_string":"[Netaji Subhas Institute of Technology]","institution_ids":["https://openalex.org/I36090812"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030771625"],"corresponding_institution_ids":["https://openalex.org/I36090812"],"apc_list":{"value":2790,"currency":"EUR","value_usd":3590},"apc_paid":null,"fwci":3.5613,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.93588255,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"37","last_page":"61"},"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":0.9664000272750854,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.7773769497871399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6667898893356323},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.6187946200370789},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5989299416542053},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5554220676422119},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5339440703392029},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5223411321640015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48863154649734497},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4880281984806061},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46936896443367004},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.46068480610847473},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33836787939071655},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1126423180103302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10624617338180542}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7773769497871399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6667898893356323},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.6187946200370789},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5989299416542053},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5554220676422119},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5339440703392029},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5223411321640015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48863154649734497},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4880281984806061},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46936896443367004},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.46068480610847473},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33836787939071655},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1126423180103302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10624617338180542}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s13042-015-0333-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-015-0333-x","pdf_url":null,"source":{"id":"https://openalex.org/S2764999920","display_name":"International Journal of Machine Learning and Cybernetics","issn_l":"1868-8071","issn":["1868-8071","1868-808X"],"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":"International Journal of Machine Learning and Cybernetics","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":55,"referenced_works":["https://openalex.org/W38774257","https://openalex.org/W64908097","https://openalex.org/W139044672","https://openalex.org/W188803003","https://openalex.org/W1496929357","https://openalex.org/W1506455642","https://openalex.org/W1536228795","https://openalex.org/W1585854823","https://openalex.org/W1910183070","https://openalex.org/W1982219166","https://openalex.org/W1990079212","https://openalex.org/W1999038366","https://openalex.org/W1999346846","https://openalex.org/W2009727399","https://openalex.org/W2010657328","https://openalex.org/W2019778169","https://openalex.org/W2022775778","https://openalex.org/W2024360430","https://openalex.org/W2028240441","https://openalex.org/W2030680965","https://openalex.org/W2063816676","https://openalex.org/W2068714596","https://openalex.org/W2082168306","https://openalex.org/W2084689094","https://openalex.org/W2084812512","https://openalex.org/W2084901303","https://openalex.org/W2093825590","https://openalex.org/W2094381401","https://openalex.org/W2094853078","https://openalex.org/W2096846143","https://openalex.org/W2103753221","https://openalex.org/W2110222014","https://openalex.org/W2115618391","https://openalex.org/W2115629999","https://openalex.org/W2118778444","https://openalex.org/W2122892819","https://openalex.org/W2123003172","https://openalex.org/W2124834651","https://openalex.org/W2125055259","https://openalex.org/W2135153142","https://openalex.org/W2139327121","https://openalex.org/W2145898068","https://openalex.org/W2156233342","https://openalex.org/W2160512933","https://openalex.org/W2162490634","https://openalex.org/W2163381245","https://openalex.org/W2171809276","https://openalex.org/W2293539052","https://openalex.org/W2314137641","https://openalex.org/W2493364698","https://openalex.org/W2610496362","https://openalex.org/W2990062256","https://openalex.org/W3112020351","https://openalex.org/W3120740533","https://openalex.org/W4255466416"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W4200217704","https://openalex.org/W2469699777","https://openalex.org/W3201554469","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W3112950814","https://openalex.org/W2060628068","https://openalex.org/W2161835057","https://openalex.org/W2026324356"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}