{"id":"https://openalex.org/W2905169362","doi":"https://doi.org/10.1109/access.2018.2886752","title":"The Regression Learning of the Imbalanced and Big Data by the Online Mixture Model for the Mach Number Forecasting","display_name":"The Regression Learning of the Imbalanced and Big Data by the Online Mixture Model for the Mach Number Forecasting","publication_year":2018,"publication_date":"2018-12-14","ids":{"openalex":"https://openalex.org/W2905169362","doi":"https://doi.org/10.1109/access.2018.2886752","mag":"2905169362"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2886752","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886752","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08576504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08576504.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100345998","display_name":"Xiaojun Wang","orcid":"https://orcid.org/0000-0002-9435-0313"},"institutions":[{"id":"https://openalex.org/I130480701","display_name":"Dongbei University of Finance and Economics","ror":"https://ror.org/05db1pj03","country_code":"CN","type":"education","lineage":["https://openalex.org/I130480701"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiao-Jun Wang","raw_affiliation_strings":["School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian, China","institution_ids":["https://openalex.org/I130480701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351094","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-6287-3363"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089715871","display_name":"Yuan Ping","orcid":"https://orcid.org/0000-0001-7703-4637"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yuan","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020254569","display_name":"Changjun Zhou","orcid":"https://orcid.org/0000-0002-0129-2231"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang-Jun Zhou","raw_affiliation_strings":["College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics, Physics and Information Engineering, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418969","display_name":"Zhang Li","orcid":"https://orcid.org/0000-0003-1989-6102"},"institutions":[{"id":"https://openalex.org/I2802505932","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2802505932"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhang","raw_affiliation_strings":["China Aerodynamics Research and Development Center, High Speed Aerodynamics Institute, Mianyang, China"],"affiliations":[{"raw_affiliation_string":"China Aerodynamics Research and Development Center, High Speed Aerodynamics Institute, Mianyang, China","institution_ids":["https://openalex.org/I2802505932"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100345998"],"corresponding_institution_ids":["https://openalex.org/I130480701"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5348,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66937367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"7368","last_page":"7380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9897000193595886,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9879000186920166,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756792426109314},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6702257990837097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5952003002166748},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5932093262672424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5742798447608948},{"id":"https://openalex.org/keywords/mach-number","display_name":"Mach number","score":0.4794444143772125},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.46545344591140747},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.45501768589019775},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4296684265136719},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41935789585113525},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4136570990085602},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14578083157539368},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13716408610343933}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756792426109314},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6702257990837097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5952003002166748},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5932093262672424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742798447608948},{"id":"https://openalex.org/C165231844","wikidata":"https://www.wikidata.org/wiki/Q160669","display_name":"Mach number","level":2,"score":0.4794444143772125},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.46545344591140747},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.45501768589019775},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4296684265136719},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41935789585113525},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4136570990085602},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14578083157539368},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13716408610343933},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2886752","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886752","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08576504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5806fe2463bc49de9e4a6f8519779c14","is_oa":true,"landing_page_url":"https://doaj.org/article/5806fe2463bc49de9e4a6f8519779c14","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 7368-7380 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2886752","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2886752","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08576504.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G1023919524","display_name":null,"funder_award_id":", Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2702356746","display_name":null,"funder_award_id":"61702","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5962539742","display_name":null,"funder_award_id":"61702070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6238310513","display_name":null,"funder_award_id":"61672121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7918627069","display_name":null,"funder_award_id":"6167212","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7993149652","display_name":null,"funder_award_id":"61703078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329208","display_name":"China Aerodynamics Research and Development Center","ror":"https://ror.org/00jma8s40"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2905169362.pdf","grobid_xml":"https://content.openalex.org/works/W2905169362.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1161678195","https://openalex.org/W1501531539","https://openalex.org/W1514222590","https://openalex.org/W1605688901","https://openalex.org/W1622484071","https://openalex.org/W1978581090","https://openalex.org/W1980795192","https://openalex.org/W2008989859","https://openalex.org/W2076346323","https://openalex.org/W2081887000","https://openalex.org/W2105585730","https://openalex.org/W2113242816","https://openalex.org/W2119191234","https://openalex.org/W2154889144","https://openalex.org/W2155447766","https://openalex.org/W2197726767","https://openalex.org/W2246629995","https://openalex.org/W2257550357","https://openalex.org/W2270588982","https://openalex.org/W2327148878","https://openalex.org/W2327641214","https://openalex.org/W2345186664","https://openalex.org/W2401246392","https://openalex.org/W2402590133","https://openalex.org/W2414113892","https://openalex.org/W2467064228","https://openalex.org/W2547693818","https://openalex.org/W2586795482","https://openalex.org/W2619145493","https://openalex.org/W2739250163","https://openalex.org/W2750309944","https://openalex.org/W2754126974","https://openalex.org/W2779649483","https://openalex.org/W2801997077","https://openalex.org/W2896356967","https://openalex.org/W2911964244","https://openalex.org/W4212883601","https://openalex.org/W6630653474","https://openalex.org/W6636475756","https://openalex.org/W6747294771","https://openalex.org/W6755116283"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4405901645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2106588692","https://openalex.org/W2025089220"],"abstract_inverted_index":{"Extracting":[0],"valuable":[1],"information":[2],"to":[3,36,121],"enhance":[4],"the":[5,11,17,28,37,42,68,71,75,79,90,98,106,111,123,131,142,148,156,171,174,183,191,194,201,207],"performance":[6],"of":[7,20,60,81,126,158,173,176,186],"forecasting":[8,48,210],"models":[9,85,134],"from":[10,74,105],"imbalanced":[12],"and":[13,33,57,95,168,205,209],"big":[14,177],"data":[15,159,185],"requires":[16],"scalable":[18],"implementation":[19],"advanced":[21],"statistical":[22],"learning":[23,175,198],"methods.":[24],"This":[25],"paper":[26],"proposes":[27],"online":[29],"mixture":[30],"model":[31],"(OMM)":[32],"applies":[34],"it":[35],"Mach":[38,46,202],"number":[39,203],"forecasting.":[40],"Treating":[41],"key":[43],"variable":[44],"(e.g.,":[45],"number)":[47],"under":[49],"all":[50],"working":[51,63,100,108],"conditions":[52,101],"as":[53,65],"an":[54],"entire":[55],"task,":[56],"viewing":[58],"that":[59,190],"each":[61],"individual":[62],"condition":[64],"a":[66,127],"subtask,":[67],"OMM":[69,192],"separates":[70],"dense":[72],"samples":[73,91,104],"sparse":[76],"ones":[77],"on":[78,89,141,182],"basis":[80],"subtasks.":[82],"The":[83,151],"subtask":[84,128],"are":[86,139],"independently":[87],"learnt":[88],"with":[92,135,165,193],"reduced":[93],"volume,":[94],"updated":[96],"for":[97,200],"new":[99],"without":[102],"retaining":[103],"old":[107],"conditions.":[109],"Moreover,":[110],"tree-structure":[112],"ensemble":[113],"(TSE)-feature":[114],"subsets":[115,145],"ensembles":[116],"(FSEs)":[117],"algorithm":[118],"is":[119],"presented":[120],"fit":[122],"nonlinear":[124],"function":[125],"model,":[129],"where":[130],"FSE":[132],"local":[133],"low-dimensional":[136],"input":[137],"features":[138],"established":[140],"non-overlapping":[143],"sample":[144],"constructed":[146],"by":[147],"TSE":[149],"method.":[150],"TSE-FSEs":[152,195],"not":[153],"only":[154],"reduce":[155],"volume":[157],"but":[160],"also":[161],"perform":[162],"distributed":[163],"computing":[164],"parallel":[166],"structure,":[167],"thus":[169],"has":[170],"advantage":[172],"data.":[178],"Experiments":[179],"carried":[180],"out":[181],"measurement":[184],"wind":[187],"tunnel":[188],"indicate":[189],"outperforms":[196],"other":[197],"algorithms":[199],"forecasting,":[204],"meets":[206],"precision":[208],"speed":[211],"requirements":[212],"in":[213],"engineering.":[214]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}