{"id":"https://openalex.org/W2316743307","doi":"https://doi.org/10.7763/ijmlc.2013.v3.272","title":"An Optimized Classification Method for Multi-Classed Sequences","display_name":"An Optimized Classification Method for Multi-Classed Sequences","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2316743307","doi":"https://doi.org/10.7763/ijmlc.2013.v3.272","mag":"2316743307"},"language":"en","primary_location":{"id":"doi:10.7763/ijmlc.2013.v3.272","doi":"https://doi.org/10.7763/ijmlc.2013.v3.272","is_oa":true,"landing_page_url":"https://doi.org/10.7763/ijmlc.2013.v3.272","pdf_url":"http://www.ijmlc.org/papers/272-LC004.pdf","source":{"id":"https://openalex.org/S2764849349","display_name":"International Journal of Machine Learning and Computing","issn_l":"2010-3700","issn":["2010-3700"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Computing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://www.ijmlc.org/papers/272-LC004.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101870961","display_name":"Chieh-Yuan Tsai","orcid":"https://orcid.org/0000-0002-1016-9614","observed_orcids":["https://orcid.org/0000-0002-1016-9614"]},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chieh-Yuan Tsai","raw_affiliation_strings":["Institute of Industrial Engineering and Management , Yuan-Ze University , Chungli City , Taoyuan County , 320 Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Engineering and Management , Yuan-Ze University , Chungli City , Taoyuan County , 320 Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101755344","display_name":"Chih\u2010Jung Chen","orcid":"https://orcid.org/0000-0001-5317-2461","observed_orcids":["https://orcid.org/0000-0001-5317-2461","https://orcid.org/0000-0001-7755-8940"]},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Jung Chen","raw_affiliation_strings":["Department of Industrial Engineering and Management at Yuan Ze University , Taiwan","Institute of Industrial Engineering and Management , Yuan-Ze University , Chungli City , Taoyuan County , 320 Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management at Yuan Ze University , Taiwan","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Institute of Industrial Engineering and Management , Yuan-Ze University , Chungli City , Taoyuan County , 320 Taiwan","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":null,"display_name":"Wen-Jen Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Jen Lee","raw_affiliation_strings":["Institute of Industrial Engineering and Management , Yuan-Ze University , Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Engineering and Management , Yuan-Ze University , Taiwan","institution_ids":["https://openalex.org/I99908691"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.026399999856948853,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.010099999606609344,"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/sequential-pattern-mining","display_name":"sequential pattern mining","score":0.8960000276565552},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.953000009059906},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"simulated annealing","score":0.9980000257492065},{"id":"https://openalex.org/keywords/fuzzy-preference-relations","display_name":"fuzzy preference relations","score":0.8709999918937683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9007555246353149},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5100746750831604},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4243185818195343},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3509282171726227}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7763/ijmlc.2013.v3.272","doi":"https://doi.org/10.7763/ijmlc.2013.v3.272","is_oa":true,"landing_page_url":"https://doi.org/10.7763/ijmlc.2013.v3.272","pdf_url":"http://www.ijmlc.org/papers/272-LC004.pdf","source":{"id":"https://openalex.org/S2764849349","display_name":"International Journal of Machine Learning and Computing","issn_l":"2010-3700","issn":["2010-3700"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.7763/ijmlc.2013.v3.272","doi":"https://doi.org/10.7763/ijmlc.2013.v3.272","is_oa":true,"landing_page_url":"https://doi.org/10.7763/ijmlc.2013.v3.272","pdf_url":"http://www.ijmlc.org/papers/272-LC004.pdf","source":{"id":"https://openalex.org/S2764849349","display_name":"International Journal of Machine Learning and Computing","issn_l":"2010-3700","issn":["2010-3700"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Machine Learning and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2316743307.pdf","grobid_xml":"https://content.openalex.org/works/W2316743307.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1577668191","https://openalex.org/W1875348914","https://openalex.org/W1978971999","https://openalex.org/W1998238819","https://openalex.org/W2019575783","https://openalex.org/W2026107899","https://openalex.org/W2026893402","https://openalex.org/W2089477460","https://openalex.org/W2095898397","https://openalex.org/W2103142054","https://openalex.org/W2119799994","https://openalex.org/W2129521002","https://openalex.org/W2158454296","https://openalex.org/W2160628515","https://openalex.org/W2266100441","https://openalex.org/W2402846924","https://openalex.org/W2543580944","https://openalex.org/W2613176274","https://openalex.org/W4234411042","https://openalex.org/W6679263794"],"related_works":["https://openalex.org/W2006013660","https://openalex.org/W1976702616","https://openalex.org/W2083870627","https://openalex.org/W7095348202","https://openalex.org/W2138423248","https://openalex.org/W1170795221","https://openalex.org/W2118803714","https://openalex.org/W4243794444","https://openalex.org/W2029651301","https://openalex.org/W7096574126"],"abstract_inverted_index":{"Multi-classes":[0],"imply":[1],"an":[2],"additional":[3],"difficulty":[4],"for":[5,45,58,66],"sequence":[6,29,47,70,82],"classification":[7,19,120,179],"problem,":[8],"since":[9],"the":[10,33,56,60,101,104,112,115,119,130,136,149,163,168,171],"boundaries":[11],"among":[12],"these":[13],"classes":[14],"can":[15,125],"be":[16,53,126],"overlapped.To":[17],"increase":[18],"accuracy,":[20],"this":[21],"research":[22],"divides":[23],"sequences":[24],"into":[25],"a":[26,38,74,84,153],"set":[27,75],"of":[28,36,69,76,122,143,170],"subsets":[30,71],"according":[31],"to":[32,110,128,148,162],"class":[34,78,154,158],"label":[35,155],"sequences.Then,":[37],"sequential":[39,50],"pattern":[40],"mining":[41],"algorithm":[42,91,107],"is":[43,64,99,108,146,160,174],"applied":[44],"each":[46,80,123,141],"subset.The":[48],"discovered":[49],"patterns":[51],"will":[52],"used":[54,65],"as":[55],"representation":[57],"classes.Next,":[59],"pairwise":[61],"coupling":[62],"method":[63,173],"every":[67],"pair":[68,142],"and":[72],"form":[73],"binary":[77,81,144],"datasets.For":[79],"dataset,":[83],"Particle":[85],"Swarm":[86],"Optimization":[87],"with":[88,156],"Simulated":[89],"Annealing":[90],"based":[92],"Binary":[93],"Sequence":[94],"classifier,":[95,98,103],"named":[96],"PSO-SA-BS":[97,102],"constructed.In":[100],"PSO-SA":[105],"optimization":[106],"developed":[109],"update":[111],"weights":[113],"in":[114],"classifier":[116,124],"so":[117],"that":[118,167],"accuracy":[121],"maximized.Finally,":[127],"aggregate":[129],"output":[131],"from":[132],"all":[133],"PSO-SA-BA":[134],"classifiers,":[135],"fuzzy":[137,150],"preference":[138,151],"relation":[139],"between":[140],"database":[145],"evaluated.According":[147],"relation,":[152],"largest":[157],"score":[159],"assigned":[161],"sequence.The":[164],"experiments":[165],"show":[166],"performance":[169],"proposed":[172],"higher":[175],"than":[176],"other":[177],"classical":[178],"methods.":[180]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2016-06-24T00:00:00"}