{"id":"https://openalex.org/W2998873531","doi":"https://doi.org/10.1109/access.2020.2966324","title":"Imbalanced Data Classification for Multi-Source Heterogenous Sensor Networks","display_name":"Imbalanced Data Classification for Multi-Source Heterogenous Sensor Networks","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W2998873531","doi":"https://doi.org/10.1109/access.2020.2966324","mag":"2998873531"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2966324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957446.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/08957446.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063163653","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0001-9032-4401"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-9032-4401","affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101953761","display_name":"Mengjun Zhang","orcid":"https://orcid.org/0000-0001-9962-6983"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengjun Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425764","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0003-3708-5506"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006176516","display_name":"Qiong Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Bai","raw_affiliation_strings":["Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2708,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62167871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"27406","last_page":"27413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9990000128746033,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9751999974250793,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9645000100135803,"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":0.7998945713043213},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.71851646900177},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.5453817248344421},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5362699627876282},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5170276761054993},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.49519315361976624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4894598722457886},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4512162208557129},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43852314352989197},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41922831535339355},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4104779362678528},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4061577022075653},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09337431192398071},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08634588122367859}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7998945713043213},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.71851646900177},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.5453817248344421},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5362699627876282},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5170276761054993},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.49519315361976624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4894598722457886},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4512162208557129},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43852314352989197},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41922831535339355},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4104779362678528},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4061577022075653},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09337431192398071},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08634588122367859},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2966324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957446.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:de4339cdef3c48b4a4dfceb172b0b375","is_oa":true,"landing_page_url":"https://doaj.org/article/de4339cdef3c48b4a4dfceb172b0b375","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 8, Pp 27406-27413 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2966324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2966324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08957446.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3593897502","display_name":null,"funder_award_id":"61971310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4972196957","display_name":null,"funder_award_id":"61501326","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7852893480","display_name":null,"funder_award_id":"61731006","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998873531.pdf","grobid_xml":"https://content.openalex.org/works/W2998873531.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W340056678","https://openalex.org/W1958897367","https://openalex.org/W1979428660","https://openalex.org/W1984401581","https://openalex.org/W1987769400","https://openalex.org/W1992426838","https://openalex.org/W2006808740","https://openalex.org/W2011256616","https://openalex.org/W2018067627","https://openalex.org/W2023299139","https://openalex.org/W2024165284","https://openalex.org/W2031049553","https://openalex.org/W2072509929","https://openalex.org/W2087347434","https://openalex.org/W2113055885","https://openalex.org/W2118978333","https://openalex.org/W2126734246","https://openalex.org/W2127975252","https://openalex.org/W2141200867","https://openalex.org/W2148659689","https://openalex.org/W2154624311","https://openalex.org/W2161523248","https://openalex.org/W2283626220","https://openalex.org/W2471397812","https://openalex.org/W2534830764","https://openalex.org/W2549437329","https://openalex.org/W2992117564","https://openalex.org/W6640925657","https://openalex.org/W6646255079","https://openalex.org/W6657948121","https://openalex.org/W6679221862","https://openalex.org/W6720307979"],"related_works":["https://openalex.org/W1995622179","https://openalex.org/W1484111231","https://openalex.org/W4391160746","https://openalex.org/W1552543208","https://openalex.org/W2074396517","https://openalex.org/W2166963679","https://openalex.org/W2187269125","https://openalex.org/W1641615907","https://openalex.org/W3089231081","https://openalex.org/W2093956241"],"abstract_inverted_index":{"Most":[0],"of":[1,12,59,188],"the":[2,9,15,29,34,40,55,100,114,147],"traditional":[3],"classification":[4,30,45,106,141],"algorithms":[5,46,107,176],"are":[6,51,66,108,177],"based":[7,53],"on":[8,54,99,179],"uniform":[10],"distribution":[11],"samples,":[13],"and":[14,57,78,87,96,103,128,157,190],"effect":[16],"is":[17],"not":[18],"ideal":[19],"when":[20],"dealing":[21],"with":[22,160,171],"such":[23],"data,":[24,71,102],"which":[25,50,167,183],"mainly":[26,52],"shows":[27],"that":[28,64],"results":[31],"incline":[32],"to":[33],"majority":[35],"class.":[36],"Therefore,":[37],"we":[38,117,150],"propose":[39],"imbalanced":[41],"multi-source":[42,70,119],"heterogeneous":[43,101,120],"data":[44,85,89,121,133,140,152,155,181],"in":[47,110],"this":[48,111],"paper,":[49],"expansion":[56],"extension":[58],"Support":[60,143,163],"Vector":[61,164],"Machines.":[62],"Considering":[63],"there":[65],"complex":[67],"connections":[68],"within":[69],"express":[72],"them":[73,159],"as":[74],"a":[75,123,130],"unified,":[76],"concise":[77],"efficient":[79],"mathematical":[80],"model":[81],"can":[82],"completely":[83],"retain":[84],"information":[86],"improve":[88],"processing":[90],"efficiency.":[91],"We":[92],"perform":[93],"tensor":[94,125],"representation":[95],"feature":[97],"extraction":[98],"two":[104,185],"different":[105,154,172,186],"proposed":[109],"paper.":[112],"In":[113,146],"first":[115],"method,":[116,149],"represent":[118],"into":[122],"unified":[124],"form":[126],"directly":[127],"obtain":[129],"high-quality":[131],"core":[132],"through":[134],"dimensionality":[135],"reduction":[136],"algorithm,":[137],"then":[138],"realize":[139],"by":[142],"Tensor":[144],"Machine.":[145],"other":[148],"extract":[151],"from":[153],"sources":[156],"classify":[158],"Ensemble":[161],"Deep":[162],"Machine":[165],"(DSVM),":[166],"combined":[168],"three":[169],"DSVM":[170],"kernel":[173],"functions.":[174],"The":[175],"compared":[178],"CUAVE":[180],"set,":[182],"contains":[184],"modalities":[187],"sound":[189],"picture.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}