{"id":"https://openalex.org/W2782762672","doi":"https://doi.org/10.1109/bigdata.2017.8258127","title":"Unsupervised deep embedding for novel class detection over data stream","display_name":"Unsupervised deep embedding for novel class detection over data stream","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782762672","doi":"https://doi.org/10.1109/bigdata.2017.8258127","mag":"2782762672"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"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/A5021357107","display_name":"Ahmad Mustafa","orcid":"https://orcid.org/0000-0002-5264-4305"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ahmad M. Mustafa","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059062666","display_name":"Gbadebo Ayoade","orcid":"https://orcid.org/0000-0002-7567-876X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gbadebo Ayoade","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051934139","display_name":"Khaled Al-Naami","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Khaled Al-Naami","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005002693","display_name":"Latifur Khan","orcid":"https://orcid.org/0000-0002-9300-1576"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Latifur Khan","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051312448","display_name":"Kevin W. Hamlen","orcid":"https://orcid.org/0000-0003-0479-6280"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin W. Hamlen","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072193842","display_name":"Bhavani Thuraisingham","orcid":"https://orcid.org/0000-0003-4653-2080"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bhavani Thuraisingham","raw_affiliation_strings":["Department of Computer Science, The University of Texas at Dallas, Richardson, Texas"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Texas at Dallas, Richardson, Texas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015875907","display_name":"Frederico Araujo","orcid":"https://orcid.org/0000-0001-5143-8318"},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frederico Araujo","raw_affiliation_strings":["IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY"],"affiliations":[{"raw_affiliation_string":"IBM Research, Thomas J. Watson Research Center, Yorktown Heights, NY","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5021357107"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":0.7801,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.80354866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1830","last_page":"1839"},"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":0.9973999857902527,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9807000160217285,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7595242261886597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7028924226760864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6505008935928345},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.594095766544342},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5574620962142944},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.5441343784332275},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.530351459980011},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5164949893951416},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5013446807861328},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.48489099740982056},{"id":"https://openalex.org/keywords/concept-drift","display_name":"Concept drift","score":0.4797160029411316},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43543586134910583},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4258001446723938},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4199562072753906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4162740111351013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7595242261886597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7028924226760864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6505008935928345},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.594095766544342},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5574620962142944},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.5441343784332275},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.530351459980011},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5164949893951416},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5013446807861328},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.48489099740982056},{"id":"https://openalex.org/C60777511","wikidata":"https://www.wikidata.org/wiki/Q3045002","display_name":"Concept drift","level":3,"score":0.4797160029411316},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43543586134910583},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4258001446723938},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4199562072753906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4162740111351013},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W82771173","https://openalex.org/W300721812","https://openalex.org/W639907764","https://openalex.org/W1483713657","https://openalex.org/W1525647652","https://openalex.org/W1576462183","https://openalex.org/W1581984155","https://openalex.org/W1597681648","https://openalex.org/W1965395441","https://openalex.org/W1993521476","https://openalex.org/W2030680965","https://openalex.org/W2042071805","https://openalex.org/W2044535354","https://openalex.org/W2072610876","https://openalex.org/W2095345875","https://openalex.org/W2110750681","https://openalex.org/W2115677675","https://openalex.org/W2127979711","https://openalex.org/W2130416896","https://openalex.org/W2135335717","https://openalex.org/W2145094598","https://openalex.org/W2243993013","https://openalex.org/W2250714477","https://openalex.org/W2344964031","https://openalex.org/W2470412537","https://openalex.org/W2532640750","https://openalex.org/W2560100125","https://openalex.org/W2964074409","https://openalex.org/W2997574889","https://openalex.org/W3003253354","https://openalex.org/W3122278366","https://openalex.org/W4205471522","https://openalex.org/W6628951430","https://openalex.org/W6676711545","https://openalex.org/W6679454278","https://openalex.org/W6680192438","https://openalex.org/W6681096077","https://openalex.org/W6685380521","https://openalex.org/W6691460610","https://openalex.org/W6719935260"],"related_works":["https://openalex.org/W4307392573","https://openalex.org/W2802243998","https://openalex.org/W2736127210","https://openalex.org/W2329342202","https://openalex.org/W2574092225","https://openalex.org/W4200217704","https://openalex.org/W2161835057","https://openalex.org/W1521014365","https://openalex.org/W3208495060","https://openalex.org/W2740428142"],"abstract_inverted_index":{"Data":[0],"streams":[1],"are":[2],"continuous":[3],"flows":[4],"of":[5,15,99,118],"data":[6,16,100],"points.":[7],"Novel":[8],"class":[9,21,26,47,62,120],"detection":[10,48,89],"is":[11,22,67,91],"an":[12],"important":[13],"part":[14],"stream":[17],"mining.":[18],"A":[19,64,84],"novel":[20,46,51,61,119],"a":[23,50,68,81],"newly":[24],"emerged":[25],"that":[27,53,111],"has":[28],"not":[29],"previously":[30],"been":[31],"modeled":[32],"by":[33],"the":[34,37,77,112,116],"classifier":[35],"over":[36,103],"input":[38,78],"stream.":[39],"This":[40],"paper":[41],"proposes":[42],"deep":[43],"embedding":[44],"for":[45],"-":[49],"approach":[52,90,113],"combines":[54],"feature":[55,101],"learning":[56],"using":[57],"denoising":[58,65],"autoencoding":[59],"with":[60,71],"detection.":[63,121],"autoencoder":[66],"neural":[69],"network":[70],"hidden":[72],"layers":[73],"aiming":[74],"to":[75,94],"reconstruct":[76],"vector":[79],"from":[80],"corrupted":[82],"version.":[83],"nonparametric":[85],"multidimensional":[86],"change":[87,98],"point":[88],"also":[92],"proposed,":[93],"detect":[95],"concept-drift":[96],"(the":[97],"values":[102],"time).":[104],"Experiments":[105],"on":[106],"several":[107],"real":[108],"datasets":[109],"show":[110],"significantly":[114],"improves":[115],"performance":[117]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}