{"id":"https://openalex.org/W2625050378","doi":"https://doi.org/10.1145/3055635.3056645","title":"HMM Training by Using a Self-Organizing Map for Time Series Prediction","display_name":"HMM Training by Using a Self-Organizing Map for Time Series Prediction","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2625050378","doi":"https://doi.org/10.1145/3055635.3056645","mag":"2625050378"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5060191345","display_name":"Gen Niina","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gen Niina","raw_affiliation_strings":["SOM JAPAN Inc., Saga, Japan"],"affiliations":[{"raw_affiliation_string":"SOM JAPAN Inc., Saga, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034359313","display_name":"H. Douzono","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroshi Douzono","raw_affiliation_strings":["Saga University, Saga, Japan"],"affiliations":[{"raw_affiliation_string":"Saga University, Saga, Japan","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055638031","display_name":"Tomohiro Enda","orcid":null},"institutions":[{"id":"https://openalex.org/I177136067","display_name":"Saga University","ror":"https://ror.org/04f4wg107","country_code":"JP","type":"education","lineage":["https://openalex.org/I177136067"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomohiro Enda","raw_affiliation_strings":["Saga University, Saga, Japan"],"affiliations":[{"raw_affiliation_string":"Saga University, Saga, Japan","institution_ids":["https://openalex.org/I177136067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110123368","display_name":"Heiz\u014d Tokutaka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Heizo Tokutaka","raw_affiliation_strings":["SOM JAPAN Inc., Saga, Japan"],"affiliations":[{"raw_affiliation_string":"SOM JAPAN Inc., Saga, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5060191345"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06288812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks 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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks 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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9991999864578247,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9923999905586243,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.896917462348938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218990921974182},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6489362120628357},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5419860482215881},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5284464359283447},{"id":"https://openalex.org/keywords/self-organizing-map","display_name":"Self-organizing map","score":0.5254254341125488},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5126535296440125},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4770174026489258},{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.47527164220809937},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.4398100972175598},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4082631766796112},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.37790361046791077},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.2923257350921631},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.2085849642753601},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.15245845913887024},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.13404330611228943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08921265602111816}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.896917462348938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218990921974182},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6489362120628357},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5419860482215881},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5284464359283447},{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.5254254341125488},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5126535296440125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4770174026489258},{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.47527164220809937},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.4398100972175598},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4082631766796112},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.37790361046791077},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2923257350921631},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2085849642753601},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.15245845913887024},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.13404330611228943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08921265602111816},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056645","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W206311806","https://openalex.org/W320662670","https://openalex.org/W813658208","https://openalex.org/W1543931904","https://openalex.org/W1588397015","https://openalex.org/W1990517717","https://openalex.org/W2064416505","https://openalex.org/W2286179031"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2379938888","https://openalex.org/W4246505579","https://openalex.org/W2134386692","https://openalex.org/W2116722627","https://openalex.org/W2799426416","https://openalex.org/W2537260108","https://openalex.org/W1977445474","https://openalex.org/W2566202039","https://openalex.org/W2792905593"],"abstract_inverted_index":{"For":[0],"individual":[1],"investors":[2],"to":[3,13,24],"analyze":[4],"changes":[5],"in":[6,57],"stock":[7],"prices":[8],"and":[9,51],"foreign":[10],"exchange":[11],"rates":[12],"predict":[14],"future":[15],"trends":[16],"is":[17],"an":[18],"extremely":[19],"difficult":[20],"task.":[21],"In":[22],"order":[23],"enable":[25],"such":[26],"predictions":[27],"based":[28],"on":[29],"the":[30],"analysis":[31],"of":[32],"time":[33],"series":[34],"data":[35],"sets,":[36],"this":[37],"research":[38],"proposes":[39],"a":[40,43,47],"method":[41],"combining":[42],"Self-Organizing":[44],"Map":[45],"with":[46],"Hidden":[48],"Markov":[49],"Model":[50],"provides":[52],"evidence":[53],"for":[54],"its":[55],"usefulness":[56],"making":[58],"predictions.":[59]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}