{"id":"https://openalex.org/W4307230875","doi":"https://doi.org/10.1109/tnnls.2022.3213682","title":"Difficult Novel Class Detection in Semisupervised Streaming Data","display_name":"Difficult Novel Class Detection in Semisupervised Streaming Data","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4307230875","doi":"https://doi.org/10.1109/tnnls.2022.3213682","pmid":"https://pubmed.ncbi.nlm.nih.gov/36279327"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2022.3213682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3213682","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101424705","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0002-3607-0022"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714534","display_name":"Ni Wang","orcid":"https://orcid.org/0000-0002-8941-0457"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ni Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100661274","display_name":"Shu Zhao","orcid":"https://orcid.org/0000-0001-7647-3603"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shu Zhao","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430705","display_name":"Yanping Zhang","orcid":"https://orcid.org/0000-0002-5678-3038"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanping Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, the School of Computer Science and Technology, and the Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080738591","display_name":"Xindong Wu","orcid":"https://orcid.org/0000-0003-2396-1704"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xindong Wu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, Ministry of Education of China, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101424705"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71261234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"34","issue":"10","first_page":"6872","last_page":"6886"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","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/T11220","display_name":"Water Systems and Optimization","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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":0.8057361245155334},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.6411698460578918},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.6404786109924316},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.6342559456825256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6181176900863647},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5878012180328369},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.5801183581352234},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5795533061027527},{"id":"https://openalex.org/keywords/streaming-algorithm","display_name":"Streaming algorithm","score":0.5459945201873779},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5284899473190308},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.492135226726532},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.42256560921669006},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3379335105419159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12192445993423462}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8057361245155334},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.6411698460578918},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.6404786109924316},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.6342559456825256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6181176900863647},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5878012180328369},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.5801183581352234},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5795533061027527},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.5459945201873779},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5284899473190308},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.492135226726532},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.42256560921669006},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3379335105419159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12192445993423462},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2022.3213682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2022.3213682","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:36279327","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36279327","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1128271767","display_name":null,"funder_award_id":"62120106008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4070433210","display_name":null,"funder_award_id":"61906056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5483571968","display_name":null,"funder_award_id":"IRT17R32","funder_id":"https://openalex.org/F4320338204","funder_display_name":"Program for Changjiang Scholars and Innovative Research Team in University"},{"id":"https://openalex.org/G6016749313","display_name":null,"funder_award_id":"61806002","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/F4320338204","display_name":"Program for Changjiang Scholars and Innovative Research Team in University","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W151188873","https://openalex.org/W1979089718","https://openalex.org/W1993521476","https://openalex.org/W2075721911","https://openalex.org/W2115677675","https://openalex.org/W2130416896","https://openalex.org/W2168386304","https://openalex.org/W2296719434","https://openalex.org/W2300408473","https://openalex.org/W2412094331","https://openalex.org/W2470412537","https://openalex.org/W2500228126","https://openalex.org/W2590761734","https://openalex.org/W2604723872","https://openalex.org/W2604735226","https://openalex.org/W2760451156","https://openalex.org/W2768015769","https://openalex.org/W2771828150","https://openalex.org/W2782762672","https://openalex.org/W2805616023","https://openalex.org/W2951761524","https://openalex.org/W2963183879","https://openalex.org/W2991261409","https://openalex.org/W2997449054","https://openalex.org/W3003410761","https://openalex.org/W3013371665","https://openalex.org/W3038625188","https://openalex.org/W3102615300","https://openalex.org/W3118263816","https://openalex.org/W3179971404","https://openalex.org/W3197269428","https://openalex.org/W3198636227","https://openalex.org/W3215233361","https://openalex.org/W4200427624","https://openalex.org/W4214616139","https://openalex.org/W4254182148","https://openalex.org/W6606155993","https://openalex.org/W6680434193","https://openalex.org/W6761541817"],"related_works":["https://openalex.org/W4281572076","https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2469699777","https://openalex.org/W2736127210","https://openalex.org/W2060628068","https://openalex.org/W3208495060","https://openalex.org/W2365282734","https://openalex.org/W2277307313","https://openalex.org/W2235038291"],"abstract_inverted_index":{"Streaming":[0],"data":[1,56,105],"mining":[2],"can":[3,118,140,207],"be":[4],"applied":[5],"in":[6,40,54,85,220],"many":[7],"practical":[8],"applications,":[9],"such":[10],"as":[11],"social":[12],"media,":[13],"market":[14],"analysis,":[15],"and":[16,82,107,127,132,137,194,217],"sensor":[17],"networks.":[18],"Most":[19],"previous":[20],"efforts":[21],"assume":[22],"that":[23,49,205],"all":[24],"training":[25],"instances":[26,53,144],"except":[27],"for":[28,36,164],"the":[29,55,69,76,86,111,189,215],"novel":[30,37,80,109,125,134,166,178,216],"class":[31,38,81,126,135,167,179],"have":[32],"been":[33],"completely":[34],"labeled":[35,143],"detection":[39,168],"streaming":[41,100,162,222],"data.":[42,101,223],"However,":[43],"a":[44,51,157,185],"more":[45],"realistic":[46],"situation":[47],"is":[48,93],"only":[50],"few":[52],"stream":[57],"are":[58,65],"labeled.":[59],"In":[60,149],"addition,":[61],"most":[62],"existing":[63],"algorithms":[64],"potentially":[66],"dependent":[67],"on":[68,182,201],"strong":[70],"cohesion":[71],"between":[72,79,124,214],"known":[73,83,128,218],"classes":[74,84,129,219],"or":[75],"greater":[77],"separation":[78,123,213],"feature":[87],"space.":[88],"Unfortunately,":[89],"this":[90,150],"potential":[91],"dependence":[92],"usually":[94],"not":[95],"an":[96,176,195],"inherent":[97],"characteristic":[98],"of":[99,122,172,191,212],"Therefore,":[102],"to":[103,145],"classify":[104],"streams":[106],"detect":[108],"classes,":[110],"proposed":[112],"algorithm":[113,147],"should":[114],"satisfy:":[115],"1)":[116],"it":[117,139],"handle":[119,209],"any":[120],"degree":[121],"(both":[130],"easy":[131],"difficult":[133,165],"detection)":[136],"2)":[138],"use":[141],"limited":[142],"build":[146],"models.":[148],"article,":[151],"we":[152],"tackle":[153],"these":[154],"issues":[155],"by":[156,187],"new":[158],"framework":[159],"called":[160],"semisupervised":[161,221],"learning":[163],"(SSLDN),":[169],"which":[170],"consists":[171],"three":[173],"major":[174],"components:":[175],"effective":[177],"detector":[180],"based":[181],"random":[183],"trees,":[184],"classifier":[186],"using":[188],"information":[190],"nearest":[192],"neighbors,":[193],"efficient":[196],"updating":[197],"process.":[198],"Empirical":[199],"studies":[200],"several":[202],"datasets":[203],"validate":[204],"SSLDN":[206],"accurately":[208],"different":[210],"degrees":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}