乐胖代购免代理版

{"id":"https://openalex.org/W1072516966","doi":"https://doi.org/10.1007/s12652-015-0310-y","title":"SmoteAdaNL: a learning method for network traffic classification","display_name":"SmoteAdaNL: a learning method for network traffic classification","publication_year":2015,"publication_date":"2015-08-04","ids":{"openalex":"https://openalex.org/W1072516966","doi":"https://doi.org/10.1007/s12652-015-0310-y","mag":"1072516966"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12652-015-0310-y","pdf_url":null,"source":{"id":"https://openalex.org/S48031226","display_name":"Journal of Ambient Intelligence and Humanized Computing","issn_l":"1868-5137","issn":["1868-5137","1868-5145"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5003356618","display_name":"Zhen Liu","orcid":"https://orcid.org/0000-0002-8107-0929"},"institutions":[{"id":"https://openalex.org/I190242452","display_name":"Guangdong Pharmaceutical University","ror":"https://ror.org/02vg7mz57","country_code":"CN","type":"funder","lineage":["https://openalex.org/I190242452"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liu","raw_affiliation_strings":["Guangdong Pharmaceutical University"],"affiliations":[{"raw_affiliation_string":"Guangdong Pharmaceutical University","institution_ids":["https://openalex.org/I190242452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653715","display_name":"Ruoyu Wang","orcid":"https://orcid.org/0000-0003-4623-6724"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruoyu Wang","raw_affiliation_strings":["South China University of, Technology"],"affiliations":[{"raw_affiliation_string":"South China University of, Technology","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009771110","display_name":"Ming Tao","orcid":"https://orcid.org/0000-0003-1175-5380"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"funder","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"funder","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Tao","raw_affiliation_strings":["Dongguan University of Technology","South China University of Technology"],"affiliations":[{"raw_affiliation_string":"South China University of Technology","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Dongguan University of Technology","institution_ids":["https://openalex.org/I2799850029"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2690,"currency":"EUR","value_usd":3390},"apc_paid":null,"fwci":1.472,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":12,"citation_normalized_percentile":{"value":0.869875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"7","issue":"1","first_page":"121","last_page":"130"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T10400","display_name":"Network Security and Intrusion Detection","score":0.998,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9774,"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/boosting","display_name":"Boosting","score":0.6616708},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble Learning","score":0.6031037},{"id":"https://openalex.org/keywords/traffic-classification","display_name":"Traffic classification","score":0.557945}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81428957},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6616708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.65642816},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.65149343},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.6336549},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6031037},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.56032217},{"id":"https://openalex.org/C169988225","wikidata":"https://www.wikidata.org/wiki/Q7832484","display_name":"Traffic classification","level":3,"score":0.557945},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5470012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.52637035},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.37309992},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08815396},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/s12652-015-0310-y","pdf_url":null,"source":{"id":"https://openalex.org/S48031226","display_name":"Journal of Ambient Intelligence and Humanized Computing","issn_l":"1868-5137","issn":["1868-5137","1868-5145"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation","award_id":"2014M552199"},{"funder":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities","award_id":"SCUT 2014ZB0029"}],"datasets":[],"versions":[],"referenced_works_count":27,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W1524496078","https://openalex.org/W1525997471","https://openalex.org/W1570448133","https://openalex.org/W166284719","https://openalex.org/W1799928006","https://openalex.org/W1965048080","https://openalex.org/W1979896568","https://openalex.org/W1985723632","https://openalex.org/W1996388070","https://openalex.org/W1998489336","https://openalex.org/W2012095206","https://openalex.org/W2027355980","https://openalex.org/W2035060716","https://openalex.org/W2050013917","https://openalex.org/W2061602689","https://openalex.org/W2063432924","https://openalex.org/W2068754024","https://openalex.org/W2075932300","https://openalex.org/W2087405576","https://openalex.org/W2112663892","https://openalex.org/W2125055259","https://openalex.org/W2127590189","https://openalex.org/W2134539183","https://openalex.org/W2148143831","https://openalex.org/W2149600645","https://openalex.org/W2158896888"],"related_works":["https://openalex.org/W4296079469","https://openalex.org/W4286571681","https://openalex.org/W4229460275","https://openalex.org/W3135046080","https://openalex.org/W3023033471","https://openalex.org/W2905156999","https://openalex.org/W2809161969","https://openalex.org/W2152125195","https://openalex.org/W2018792058","https://openalex.org/W1987518466"],"abstract_inverted_index":null,"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1072516966","counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-04-17T12:02:02.001195","created_date":"2016-06-24"}