{"id":"https://openalex.org/W4321020991","doi":"https://doi.org/10.1109/jiot.2023.3243391","title":"Unsupervised Deep Learning for IoT Time Series","display_name":"Unsupervised Deep Learning for IoT Time Series","publication_year":2023,"publication_date":"2023-02-16","ids":{"openalex":"https://openalex.org/W4321020991","doi":"https://doi.org/10.1109/jiot.2023.3243391"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2023.3243391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3243391","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-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/A5100459740","display_name":"Ya Liu","orcid":"https://orcid.org/0000-0002-4562-7654"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ya Liu","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-4562-7654","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037482637","display_name":"Yingjie Zhou","orcid":"https://orcid.org/0000-0002-1129-0213"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjie Zhou","raw_affiliation_strings":["College of Computer Science, Sichuan university, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0002-1129-0213","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan university, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100420873","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0002-5983-198X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yang","raw_affiliation_strings":["Department of Computer Science and Technology, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5983-198X","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100328094","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-2292-3845"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["School of Information Science and Engineering, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2292-3845","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100459740"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":11.6054,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.99126232,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"10","issue":"16","first_page":"14285","last_page":"14306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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/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/T12761","display_name":"Data Stream Mining Techniques","score":0.9969000220298767,"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":0.7991199493408203},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6074095964431763},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5365550518035889},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.48977136611938477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48503679037094116},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4707052409648895},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.393333375453949}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7991199493408203},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6074095964431763},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5365550518035889},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.48977136611938477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48503679037094116},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4707052409648895},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.393333375453949},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2023.3243391","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2023.3243391","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G2039880473","display_name":null,"funder_award_id":"62171302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5975532895","display_name":null,"funder_award_id":"61771013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G87750692","display_name":null,"funder_award_id":"2023NSFSC1965","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":228,"referenced_works":["https://openalex.org/W60493759","https://openalex.org/W1485009520","https://openalex.org/W1501856433","https://openalex.org/W1675370436","https://openalex.org/W1784044093","https://openalex.org/W1894414046","https://openalex.org/W1924770834","https://openalex.org/W1936150905","https://openalex.org/W1959608418","https://openalex.org/W1970977008","https://openalex.org/W1974661182","https://openalex.org/W2025768430","https://openalex.org/W2026430219","https://openalex.org/W2026493302","https://openalex.org/W2029316659","https://openalex.org/W2037416370","https://openalex.org/W2049058890","https://openalex.org/W2054932015","https://openalex.org/W2057074436","https://openalex.org/W2064675550","https://openalex.org/W2072641892","https://openalex.org/W2073579860","https://openalex.org/W2097747115","https://openalex.org/W2099419573","https://openalex.org/W2101026695","https://openalex.org/W2113944037","https://openalex.org/W2122646361","https://openalex.org/W2146744682","https://openalex.org/W2153028052","https://openalex.org/W2159637520","https://openalex.org/W2166856083","https://openalex.org/W2244219004","https://openalex.org/W2296719434","https://openalex.org/W2337344967","https://openalex.org/W2397306716","https://openalex.org/W2399941526","https://openalex.org/W2509223312","https://openalex.org/W2513855612","https://openalex.org/W2513938788","https://openalex.org/W2535838896","https://openalex.org/W2547793278","https://openalex.org/W2561722812","https://openalex.org/W2567199148","https://openalex.org/W2588421568","https://openalex.org/W2604314403","https://openalex.org/W2609654676","https://openalex.org/W2609968973","https://openalex.org/W2613084637","https://openalex.org/W2739349903","https://openalex.org/W2740268464","https://openalex.org/W2743351235","https://openalex.org/W2743812350","https://openalex.org/W2750814024","https://openalex.org/W2755148105","https://openalex.org/W2764198198","https://openalex.org/W2765811365","https://openalex.org/W2766807000","https://openalex.org/W2768947629","https://openalex.org/W2775133808","https://openalex.org/W2784019465","https://openalex.org/W2784068058","https://openalex.org/W2786827964","https://openalex.org/W2788229829","https://openalex.org/W2790864385","https://openalex.org/W2792764867","https://openalex.org/W2793208818","https://openalex.org/W2794620754","https://openalex.org/W2799461614","https://openalex.org/W2799947440","https://openalex.org/W2800971400","https://openalex.org/W2803192575","https://openalex.org/W2810695483","https://openalex.org/W2885417037","https://openalex.org/W2885618505","https://openalex.org/W2890707978","https://openalex.org/W2891692146","https://openalex.org/W2892035503","https://openalex.org/W2892164748","https://openalex.org/W2894771803","https://openalex.org/W2896811665","https://openalex.org/W2902302988","https://openalex.org/W2907492528","https://openalex.org/W2908285635","https://openalex.org/W2908736334","https://openalex.org/W2909960414","https://openalex.org/W2911200746","https://openalex.org/W2919115771","https://openalex.org/W2920992786","https://openalex.org/W2921127310","https://openalex.org/W2931608861","https://openalex.org/W2942910248","https://openalex.org/W2944703101","https://openalex.org/W2944851425","https://openalex.org/W2947464817","https://openalex.org/W2948517885","https://openalex.org/W2948939733","https://openalex.org/W2949449669","https://openalex.org/W2950361482","https://openalex.org/W2950865323","https://openalex.org/W2952436057","https://openalex.org/W2954731415","https://openalex.org/W2957850143","https://openalex.org/W2962736999","https://openalex.org/W2963741028","https://openalex.org/W2963748489","https://openalex.org/W2963869198","https://openalex.org/W2964248614","https://openalex.org/W2964758013","https://openalex.org/W2968172454","https://openalex.org/W2970771021","https://openalex.org/W2973055534","https://openalex.org/W2980617023","https://openalex.org/W2988244882","https://openalex.org/W2992150910","https://openalex.org/W2993502289","https://openalex.org/W2995596828","https://openalex.org/W2998285959","https://openalex.org/W3001065717","https://openalex.org/W3004207920","https://openalex.org/W3004543888","https://openalex.org/W3005446893","https://openalex.org/W3007271905","https://openalex.org/W3012437309","https://openalex.org/W3013100408","https://openalex.org/W3014002852","https://openalex.org/W3014106621","https://openalex.org/W3015471529","https://openalex.org/W3015959599","https://openalex.org/W3016715605","https://openalex.org/W3016895873","https://openalex.org/W3018019331","https://openalex.org/W3018763859","https://openalex.org/W3020543937","https://openalex.org/W3020687048","https://openalex.org/W3022604549","https://openalex.org/W3022643593","https://openalex.org/W3023780296","https://openalex.org/W3027374119","https://openalex.org/W3033215775","https://openalex.org/W3034680073","https://openalex.org/W3046408983","https://openalex.org/W3047381018","https://openalex.org/W3080253043","https://openalex.org/W3080273007","https://openalex.org/W3081497074","https://openalex.org/W3083938246","https://openalex.org/W3087102109","https://openalex.org/W3088611441","https://openalex.org/W3089028909","https://openalex.org/W3090298072","https://openalex.org/W3091277188","https://openalex.org/W3091541628","https://openalex.org/W3096448935","https://openalex.org/W3098620325","https://openalex.org/W3098645631","https://openalex.org/W3105324058","https://openalex.org/W3105931142","https://openalex.org/W3106543020","https://openalex.org/W3118660713","https://openalex.org/W3120331202","https://openalex.org/W3128634608","https://openalex.org/W3129166376","https://openalex.org/W3132782787","https://openalex.org/W3133618741","https://openalex.org/W3147254695","https://openalex.org/W3154435685","https://openalex.org/W3155567600","https://openalex.org/W3162956350","https://openalex.org/W3163842339","https://openalex.org/W3165716503","https://openalex.org/W3168992578","https://openalex.org/W3169450514","https://openalex.org/W3173151551","https://openalex.org/W3182373745","https://openalex.org/W3184127157","https://openalex.org/W3191026187","https://openalex.org/W3191884578","https://openalex.org/W3198381997","https://openalex.org/W3204616723","https://openalex.org/W3214899684","https://openalex.org/W3217570006","https://openalex.org/W3217746002","https://openalex.org/W4213418104","https://openalex.org/W4226319939","https://openalex.org/W4241492760","https://openalex.org/W4245436919","https://openalex.org/W4246984828","https://openalex.org/W4255421341","https://openalex.org/W4288332894","https://openalex.org/W4289236838","https://openalex.org/W4293093536","https://openalex.org/W4294583247","https://openalex.org/W4295011194","https://openalex.org/W4297687186","https://openalex.org/W4320168604","https://openalex.org/W4385245566","https://openalex.org/W6602483677","https://openalex.org/W6628877408","https://openalex.org/W6640212811","https://openalex.org/W6640963894","https://openalex.org/W6683199847","https://openalex.org/W6732475852","https://openalex.org/W6738960736","https://openalex.org/W6739901393","https://openalex.org/W6743485176","https://openalex.org/W6745792373","https://openalex.org/W6749825310","https://openalex.org/W6754005046","https://openalex.org/W6756899548","https://openalex.org/W6763203961","https://openalex.org/W6763584197","https://openalex.org/W6764398373","https://openalex.org/W6764679822","https://openalex.org/W6767273713","https://openalex.org/W6771420545","https://openalex.org/W6773475968","https://openalex.org/W6775788394","https://openalex.org/W6775902431","https://openalex.org/W6776331362","https://openalex.org/W6776489473","https://openalex.org/W6783600978","https://openalex.org/W6785574322","https://openalex.org/W6795765025","https://openalex.org/W6797132756","https://openalex.org/W6800239483","https://openalex.org/W6802797615","https://openalex.org/W6849913814","https://openalex.org/W6855462042"],"related_works":["https://openalex.org/W4380075502","https://openalex.org/W4220926404","https://openalex.org/W3123344745","https://openalex.org/W3196155444","https://openalex.org/W2119012848","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W4390062853"],"abstract_inverted_index":{"Internet":[0],"of":[1,14,31,51],"Things":[2],"(IoT)":[3],"time-series":[4,62],"analysis":[5,37],"has":[6],"found":[7],"numerous":[8],"applications":[9],"in":[10,114],"a":[11,96],"wide":[12],"variety":[13],"areas,":[15],"ranging":[16],"from":[17],"health":[18],"informatics":[19],"to":[20],"network":[21],"security.":[22],"Nevertheless,":[23],"the":[24,36,43,102],"complex":[25],"spatial\u2013temporal":[26],"dynamics":[27],"and":[28,47,93,110],"high":[29],"dimensionality":[30],"IoT":[32,61,86],"time":[33,69,87],"series":[34,70],"make":[35],"increasingly":[38],"challenging.":[39],"In":[40],"recent":[41],"years,":[42],"powerful":[44],"feature":[45],"extraction":[46],"representation":[48],"learning":[49,53],"capabilities":[50],"deep":[52],"(DL)":[54],"have":[55,71],"provided":[56],"an":[57],"effective":[58],"means":[59],"for":[60,85],"analysis.":[63],"However,":[64],"few":[65],"existing":[66,108],"surveys":[67],"on":[68],"systematically":[72],"discussed":[73],"unsupervised":[74,83,90],"DL-based":[75],"methods.":[76],"To":[77],"fill":[78],"this":[79,115],"void,":[80],"we":[81],"investigate":[82],"DL":[84],"series,":[88],"i.e.,":[89],"anomaly":[91],"detection":[92],"clustering,":[94],"under":[95],"unified":[97],"framework.":[98],"We":[99],"also":[100],"discuss":[101],"application":[103],"scenarios,":[104],"public":[105],"data":[106],"sets,":[107],"challenges,":[109],"future":[111],"research":[112],"directions":[113],"area.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":5}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
