{"id":"https://openalex.org/W2765963615","doi":"https://doi.org/10.1007/s13042-017-0738-9","title":"A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority","display_name":"A two ensemble system to handle concept drifting data streams: recurring dynamic weighted majority","publication_year":2017,"publication_date":"2017-11-02","ids":{"openalex":"https://openalex.org/W2765963615","doi":"https://doi.org/10.1007/s13042-017-0738-9","mag":"2765963615"},"language":"en","primary_location":{"id":"doi:10.1007/s13042-017-0738-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-017-0738-9","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"],"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"]}]},{"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"],"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"]}]}],"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":0.6196,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.77887583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"563","last_page":"578"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9864000082015991,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9797999858856201,"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":0.7799049615859985},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7118896245956421},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6938366889953613},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6726133823394775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6151708960533142},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5315551161766052},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.5241577625274658},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.498246431350708},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.492501825094223},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4752775728702545},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4169181287288666},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4078250527381897},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.3966963589191437},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.379082053899765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13818204402923584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799049615859985},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7118896245956421},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6938366889953613},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6726133823394775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6151708960533142},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5315551161766052},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.5241577625274658},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.498246431350708},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.492501825094223},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4752775728702545},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4169181287288666},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4078250527381897},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.3966963589191437},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.379082053899765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13818204402923584},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/s13042-017-0738-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s13042-017-0738-9","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":38,"referenced_works":["https://openalex.org/W584826680","https://openalex.org/W1496929357","https://openalex.org/W1506455642","https://openalex.org/W1565746575","https://openalex.org/W1585854823","https://openalex.org/W1726806267","https://openalex.org/W1970989538","https://openalex.org/W1999038366","https://openalex.org/W2004992275","https://openalex.org/W2010657328","https://openalex.org/W2037187175","https://openalex.org/W2044264678","https://openalex.org/W2068319486","https://openalex.org/W2082168306","https://openalex.org/W2084689094","https://openalex.org/W2084901303","https://openalex.org/W2093825590","https://openalex.org/W2094853078","https://openalex.org/W2099419573","https://openalex.org/W2123003172","https://openalex.org/W2124834651","https://openalex.org/W2129092346","https://openalex.org/W2143991132","https://openalex.org/W2145898068","https://openalex.org/W2151225423","https://openalex.org/W2165466912","https://openalex.org/W2171809276","https://openalex.org/W2210303234","https://openalex.org/W2245052817","https://openalex.org/W2272985318","https://openalex.org/W2314137641","https://openalex.org/W2346714907","https://openalex.org/W2400267228","https://openalex.org/W2497817005","https://openalex.org/W3120740533","https://openalex.org/W3123307985","https://openalex.org/W4285719527","https://openalex.org/W6682656715"],"related_works":["https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W3201554469","https://openalex.org/W4200217704","https://openalex.org/W3112950814","https://openalex.org/W2368264659","https://openalex.org/W4307392573","https://openalex.org/W2060628068","https://openalex.org/W2161835057","https://openalex.org/W3208495060"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}