{"id":"https://openalex.org/W4285407647","doi":"https://doi.org/10.3103/s0146411622030117","title":"Rapid Discovery Approach of Abnormal Stocks Based on Temporal Convolutional Autoencoder","display_name":"Rapid Discovery Approach of Abnormal Stocks Based on Temporal Convolutional Autoencoder","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4285407647","doi":"https://doi.org/10.3103/s0146411622030117"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411622030117","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622030117","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5090853094","display_name":"Lida Zou","orcid":"https://orcid.org/0000-0001-8511-9243"},"institutions":[{"id":"https://openalex.org/I4210089161","display_name":"Shandong Academy of Agricultural Machinery Sciences","ror":"https://ror.org/0090cxj04","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210089161"]},{"id":"https://openalex.org/I59483232","display_name":"Shandong University of Finance and Economics","ror":"https://ror.org/02e2nnq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I59483232"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lida Zou","raw_affiliation_strings":["Key Laboratory of Machine Learning and Financial Data Mining in Universities of Shandong, 250014, Jinan, Shandong Province, China","School of Computer Science and Technology, Shandong University of Finance and Economics, 250014, Jinan, Shandong Province, China","Key Laboratory of Machine Learning and Financial Data Mining in Universities of Shandong, Jinan, China","School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Machine Learning and Financial Data Mining in Universities of Shandong, 250014, Jinan, Shandong Province, China","institution_ids":["https://openalex.org/I4210089161"]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, 250014, Jinan, Shandong Province, China","institution_ids":["https://openalex.org/I59483232"]},{"raw_affiliation_string":"Key Laboratory of Machine Learning and Financial Data Mining in Universities of Shandong, Jinan, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan, China","institution_ids":["https://openalex.org/I59483232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5090853094"],"corresponding_institution_ids":["https://openalex.org/I4210089161","https://openalex.org/I59483232"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06686216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"56","issue":"3","first_page":"209","last_page":"220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.998199999332428,"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":0.998199999332428,"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":0.991100013256073,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9771000146865845,"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/autoencoder","display_name":"Autoencoder","score":0.9659765958786011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366132140159607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5131638646125793},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.477032870054245},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4459039270877838},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4208664298057556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36429286003112793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32766830921173096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10624098777770996}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9659765958786011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366132140159607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5131638646125793},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.477032870054245},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4459039270877838},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4208664298057556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36429286003112793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32766830921173096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10624098777770996},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411622030117","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411622030117","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2069099760","https://openalex.org/W2104796460","https://openalex.org/W2155377787","https://openalex.org/W2167097759","https://openalex.org/W2288218992","https://openalex.org/W2587510517","https://openalex.org/W2785362611","https://openalex.org/W2810476110","https://openalex.org/W2903582334","https://openalex.org/W2914019150","https://openalex.org/W2963510064","https://openalex.org/W2970645682","https://openalex.org/W3044374951","https://openalex.org/W3098957257","https://openalex.org/W3192648431","https://openalex.org/W4232835590","https://openalex.org/W4253012315"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Abstract":[0],"Temporal":[1],"convolutional":[2,21,51,66,107,131,146],"autoencoder":[3,22,67,108,132,147],"has":[4],"an":[5],"important":[6],"value":[7],"of":[8,33,49,56,93,161],"application":[9,48],"in":[10,30,77,96],"time-series":[11,61],"analysis.":[12],"In":[13],"the":[14,31,47,91,101,127],"paper":[15],"we":[16,104],"aim":[17],"to":[18,23,44,70,152],"use":[19],"temporal":[20,50,65,106,119,130,145],"help":[24,129],"find":[25,133],"out":[26],"abnormal":[27,134,163],"stocks":[28,135,164],"quickly":[29,136],"scenario":[32],"financial":[34],"trading":[35,54,75],"market.":[36],"However,":[37],"there":[38],"are":[39,59,80],"still":[40],"two":[41],"critical":[42],"problems":[43],"solve":[45,100],"during":[46],"autoencoder.":[52],"First,":[53],"data":[55,76],"each":[57],"stock":[58,74,97],"multidimensional":[60,111],"data,":[62],"while":[63],"classical":[64],"only":[68],"applies":[69],"one-dimension":[71],"data.":[72],"Second,":[73],"a":[78,86],"market":[79],"huge":[81],"and":[82,137],"their":[83],"analysis":[84],"consumes":[85],"long":[87],"time,":[88],"which":[89],"contradicts":[90],"demand":[92],"quick":[94],"decision":[95],"trading.":[98],"To":[99],"above":[102],"problems,":[103],"improve":[105],"based":[109],"on":[110,124],"sampling,":[112],"convolution":[113],"kernel":[114],"generated":[115],"by":[116,168],"prior":[117],"knowledge,":[118],"feature":[120],"reuse,":[121],"parallel":[122],"training":[123],"clouds.":[125],"All":[126],"techniques":[128],"well.":[138,172],"Extended":[139],"experiments":[140],"demonstrate":[141],"that":[142],"our":[143],"proposed":[144],"could":[148],"raise":[149],"F1":[150],"score":[151],"more":[153],"than":[154],"seventy":[155],"percent.":[156],"The":[157],"largest":[158],"time":[159],"efficiency":[160],"finding":[162],"can":[165],"be":[166],"increased":[167],"ninety":[169],"percent":[170],"as":[171]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
