{"id":"https://openalex.org/W2151098404","doi":"https://doi.org/10.1109/nabic.2009.5393674","title":"A dynamic pattern recognition approach based on neural network for stock time-series","display_name":"A dynamic pattern recognition approach based on neural network for stock time-series","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2151098404","doi":"https://doi.org/10.1109/nabic.2009.5393674","mag":"2151098404"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2009.5393674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101442102","display_name":"Bo Zhou","orcid":"https://orcid.org/0000-0002-7824-3673"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Bo Zhou","raw_affiliation_strings":["Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100326923","display_name":"Jinglu Hu","orcid":"https://orcid.org/0000-0002-5601-7261"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jinglu Hu","raw_affiliation_strings":["Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information, Production and System, Waseda University, Fukuoka, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":0.6453,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.65331492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1552","last_page":"1555"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9983999729156494,"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":0.9983999729156494,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6803537011146545},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6255022287368774},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6098881363868713},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.547267496585846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4359535872936249},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4225430488586426},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3844742178916931},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2917090058326721}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6803537011146545},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6255022287368774},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6098881363868713},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.547267496585846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359535872936249},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4225430488586426},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3844742178916931},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2917090058326721},{"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/nabic.2009.5393674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2009.5393674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 World Congress on Nature & Biologically Inspired Computing (NaBIC)","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":16,"referenced_works":["https://openalex.org/W151863654","https://openalex.org/W1482940534","https://openalex.org/W1949773761","https://openalex.org/W1979611805","https://openalex.org/W2082693141","https://openalex.org/W2105935680","https://openalex.org/W2119777970","https://openalex.org/W2125166755","https://openalex.org/W2143702666","https://openalex.org/W2154892776","https://openalex.org/W2612231277","https://openalex.org/W3122397820","https://openalex.org/W3124979809","https://openalex.org/W6606194391","https://openalex.org/W6640773764","https://openalex.org/W6737363664"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W3146111732","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Pattern":[0],"theorem":[1],"in":[2,14,23,58,72,104,121,124],"financial":[3,15,59],"time-series":[4,27,36],"is":[5,79,115,134,155],"one":[6],"of":[7,31,56],"the":[8,32,49,102,138,144],"most":[9,30],"important":[10,129],"technical":[11],"analysis":[12],"methods":[13],"prediction.":[16],"Recent":[17],"researches":[18],"have":[19],"achieved":[20],"big":[21],"progresses":[22],"identifying":[24],"and":[25,45,100,123,148,160],"recognizing":[26,101],"patterns.":[28],"And":[29],"recent":[33],"works":[34],"on":[35,48,85,137],"deal":[37],"with":[38,112],"this":[39,91],"task":[40],"by":[41],"using":[42],"static":[43],"approaches":[44],"mainly":[46],"focus":[47],"recognition":[50,55,71,77,159],"accuracy,":[51],"but":[52],"considering":[53],"that":[54,83],"patterns":[57,103],"time-series,":[60,64],"especially":[61],"for":[62,98,117,142,157],"stock":[63,86],"are":[65],"always":[66],"time-consuming":[67],"rather":[68],"than":[69],"pattern":[70,87,158],"other":[73],"fields,":[74],"a":[75,95,109,126],"dynamic":[76,96,127],"approach":[78,97,108,154],"more":[80],"preferable":[81],"so":[82],"investment":[84],"become":[88],"executable.":[89],"In":[90,106],"paper":[92],"we":[93],"propose":[94],"extracting":[99,118],"stock-series.":[105],"our":[107],"slide":[110],"window":[111,161],"flexible":[113],"length":[114,162],"defined":[116],"feature":[119],"vertexes":[120],"stock-series,":[122],"addition,":[125],"perceptual":[128],"point":[130],"(PIP)":[131],"locating":[132,140],"method":[133,141],"proposed":[135],"based":[136],"PIP":[139],"avoiding":[143],"computation":[145],"expense":[146],"problem":[147],"an":[149],"artificial":[150],"neural":[151],"network":[152],"(ANN)":[153],"involved":[156],"identification.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}