{"id":"https://openalex.org/W3034831783","doi":null,"title":"Learning with Feature and Distribution Evolvable Streams","display_name":"Learning with Feature and Distribution Evolvable Streams","publication_year":2020,"publication_date":"2020-07-12","ids":{"openalex":"https://openalex.org/W3034831783","mag":"3034831783"},"language":"en","primary_location":{"id":"mag:3034831783","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v119/zhang20ad/zhang20ad.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5100389516","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0002-1328-6867","observed_orcids":["https://orcid.org/0000-0002-1328-6867"]},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":["(Nanjing University)"],"raw_orcid":"https://orcid.org/0000-0002-1328-6867","affiliations":[{"raw_affiliation_string":"(Nanjing University)","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040157899","display_name":"Peng Zhao","orcid":"https://orcid.org/0000-0001-7925-8255","observed_orcids":["https://orcid.org/0000-0001-7925-8255"]},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Zhao","raw_affiliation_strings":["(Nanjing University)"],"raw_orcid":"https://orcid.org/0000-0001-7925-8255","affiliations":[{"raw_affiliation_string":"(Nanjing University)","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013466530","display_name":"Yuan Ying Jiang","orcid":"https://orcid.org/0000-0002-1669-8023","observed_orcids":["https://orcid.org/0000-0002-1669-8023"]},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Jiang","raw_affiliation_strings":["(Nanjing University)"],"raw_orcid":"https://orcid.org/0000-0002-1669-8023","affiliations":[{"raw_affiliation_string":"(Nanjing University)","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100621138","display_name":"Zhi\u2010Hua Zhou","orcid":"https://orcid.org/0000-0003-0746-1494","observed_orcids":["https://orcid.org/0000-0003-0746-1494"]},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi\u2010Hua Zhou","raw_affiliation_strings":["(Nanjing University)"],"raw_orcid":"https://orcid.org/0000-0003-0746-1494","affiliations":[{"raw_affiliation_string":"(Nanjing University)","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.9195,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.89122289,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"1","issue":null,"first_page":"11317","last_page":"11327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9961000084877014,"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":0.9961000084877014,"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":0.0005000000237487257,"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/T12676","display_name":"Machine Learning and ELM","score":0.0003000000142492354,"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/e-learning","display_name":"online learning","score":0.6340000033378601},{"id":"https://openalex.org/keywords/data-streams","display_name":"data streams","score":0.4740000069141388}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.693702757358551},{"id":"https://openalex.org/C42090638","wikidata":"https://www.wikidata.org/wiki/Q4048907","display_name":"STREAMS","level":2,"score":0.6596788167953491},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5484760403633118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43672457337379456},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4235434830188751},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24691849946975708},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3034831783","doi":null,"is_oa":false,"landing_page_url":"http://proceedings.mlr.press/v119/zhang20ad/zhang20ad.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1493730910","https://openalex.org/W1617650991","https://openalex.org/W1731081199","https://openalex.org/W1805361780","https://openalex.org/W1978380814","https://openalex.org/W1991207565","https://openalex.org/W2096846143","https://openalex.org/W2099471712","https://openalex.org/W2131953535","https://openalex.org/W2133088989","https://openalex.org/W2142742813","https://openalex.org/W2160512933","https://openalex.org/W2212660284","https://openalex.org/W2593597837","https://openalex.org/W2624530571","https://openalex.org/W2801183640","https://openalex.org/W2963311299","https://openalex.org/W2963342068","https://openalex.org/W2965525213","https://openalex.org/W2965718579","https://openalex.org/W2979827629","https://openalex.org/W4232478844"],"related_works":["https://openalex.org/W7165044649","https://openalex.org/W3142712288","https://openalex.org/W7220867913","https://openalex.org/W2963342068","https://openalex.org/W4245993583","https://openalex.org/W7081060335","https://openalex.org/W3177001585","https://openalex.org/W6922450521","https://openalex.org/W1978384957","https://openalex.org/W3138826657"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-06-19T00:00:00"}
