{"id":"https://openalex.org/W2115048058","doi":"https://doi.org/10.1007/978-3-540-71605-1_15","title":"Mining Distributed Evolving Data Streams Using Fractal GP Ensembles","display_name":"Mining Distributed Evolving Data Streams Using Fractal GP Ensembles","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2115048058","doi":"https://doi.org/10.1007/978-3-540-71605-1_15","mag":"2115048058"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-540-71605-1_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71605-1_15","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/A5013173651","display_name":"Gianluigi Folino","orcid":"https://orcid.org/0000-0002-8139-3445"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I179420787","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43","country_code":"IN","type":"funder","lineage":["https://openalex.org/I179420787"]}],"countries":["IN","IT"],"is_corresponding":true,"raw_author_name":"Gianluigi Folino","raw_affiliation_strings":["Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy"],"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy","institution_ids":["https://openalex.org/I179420787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055719679","display_name":"Clara Pizzuti","orcid":"https://orcid.org/0000-0001-7297-7126"},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I179420787","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43","country_code":"IN","type":"funder","lineage":["https://openalex.org/I179420787"]}],"countries":["IN","IT"],"is_corresponding":false,"raw_author_name":"Clara Pizzuti","raw_affiliation_strings":["Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy"],"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy","institution_ids":["https://openalex.org/I179420787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043809260","display_name":"Giandomenico Spezzano","orcid":"https://orcid.org/0000-0002-2518-5510"},"institutions":[{"id":"https://openalex.org/I179420787","display_name":"Indian Council of Agricultural Research","ror":"https://ror.org/04fw54a43","country_code":"IN","type":"funder","lineage":["https://openalex.org/I179420787"]},{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}],"countries":["IN","IT"],"is_corresponding":false,"raw_author_name":"Giandomenico Spezzano","raw_affiliation_strings":["Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy"],"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR Via P. Bucci 41C, 87036 Rende (CS), Italy","institution_ids":["https://openalex.org/I3005160176"]},{"raw_affiliation_string":"Institute for High Performance Computing and Networking, CNR-ICAR, Rende (CS), Italy","institution_ids":["https://openalex.org/I179420787"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013173651"],"corresponding_institution_ids":["https://openalex.org/I179420787","https://openalex.org/I3005160176"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.6859,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.73179382,"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":"160","last_page":"169"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.996999979019165,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9918000102043152,"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":0.8314651250839233},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.6799408197402954},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6638609170913696},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6073175072669983},{"id":"https://openalex.org/keywords/fractal","display_name":"Fractal","score":0.5822644233703613},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.5223059058189392},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4958847463130951},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.484234094619751},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.4783417880535126},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.45668259263038635},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4384569227695465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43609827756881714},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.43004098534584045},{"id":"https://openalex.org/keywords/fractal-dimension","display_name":"Fractal dimension","score":0.41241782903671265},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3994219899177551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09011566638946533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8314651250839233},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6799408197402954},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6638609170913696},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6073175072669983},{"id":"https://openalex.org/C40636538","wikidata":"https://www.wikidata.org/wiki/Q81392","display_name":"Fractal","level":2,"score":0.5822644233703613},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.5223059058189392},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4958847463130951},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.484234094619751},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.4783417880535126},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.45668259263038635},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4384569227695465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43609827756881714},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.43004098534584045},{"id":"https://openalex.org/C26546657","wikidata":"https://www.wikidata.org/wiki/Q1412452","display_name":"Fractal dimension","level":3,"score":0.41241782903671265},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3994219899177551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09011566638946533},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-540-71605-1_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-540-71605-1_15","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.95.7773","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.95.7773","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.icar.cnr.it/pizzuti/eurogp07.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W26772505","https://openalex.org/W35596702","https://openalex.org/W1536228795","https://openalex.org/W1564780186","https://openalex.org/W1605688901","https://openalex.org/W1975056775","https://openalex.org/W1986872133","https://openalex.org/W1990079212","https://openalex.org/W2009727399","https://openalex.org/W2033139852","https://openalex.org/W2070867367","https://openalex.org/W2078206416","https://openalex.org/W2108628477","https://openalex.org/W2109464129","https://openalex.org/W2112076978","https://openalex.org/W2112841646","https://openalex.org/W2141676302","https://openalex.org/W2152761983","https://openalex.org/W2169482951","https://openalex.org/W2503216932","https://openalex.org/W2800860906","https://openalex.org/W2912934387","https://openalex.org/W3143471909"],"related_works":["https://openalex.org/W4281572076","https://openalex.org/W2060628068","https://openalex.org/W2469699777","https://openalex.org/W2253527885","https://openalex.org/W3013371665","https://openalex.org/W2773951400","https://openalex.org/W4246591448","https://openalex.org/W3208495060","https://openalex.org/W2794799997","https://openalex.org/W2235038291"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
