{"id":"https://openalex.org/W2179599940","doi":"https://doi.org/10.1109/acit-csi.2015.72","title":"Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets","display_name":"Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2179599940","doi":"https://doi.org/10.1109/acit-csi.2015.72","mag":"2179599940"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit-csi.2015.72","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5070554774","display_name":"Chun-Hao Tsai","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"funder","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chun-Hao Tsai","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028150954","display_name":"Der\u2010Chiang Li","orcid":"https://orcid.org/0000-0002-0887-1308"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"funder","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Der-Chiang Li","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.206,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.488236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"386"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9348,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.9348,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9074,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9039,"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/knowledge-acquisition","display_name":"Knowledge Acquisition","score":0.6509959},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.57389927},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42787337}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7975011},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.6509959},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.631863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6099873},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.591767},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.57389927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5337466},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.48637822},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44504687},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42787337},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.41547567},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.082677215},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08227843},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/acit-csi.2015.72","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.63}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W125870180","https://openalex.org/W148291325","https://openalex.org/W1678889691","https://openalex.org/W182248535","https://openalex.org/W1975457564","https://openalex.org/W1992619202","https://openalex.org/W2000595281","https://openalex.org/W2010354425","https://openalex.org/W2011742363","https://openalex.org/W2011993550","https://openalex.org/W2018258856","https://openalex.org/W2023354766","https://openalex.org/W2066442872","https://openalex.org/W2066501577","https://openalex.org/W2083758788","https://openalex.org/W2107170260","https://openalex.org/W2142197202","https://openalex.org/W2167025280","https://openalex.org/W3106889297","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4319437832","https://openalex.org/W4243803609","https://openalex.org/W2592385415","https://openalex.org/W2591672004","https://openalex.org/W2356463514","https://openalex.org/W2350430350","https://openalex.org/W2030894524","https://openalex.org/W1982169401","https://openalex.org/W1582777578","https://openalex.org/W102063058"],"abstract_inverted_index":{"In":[0,88],"many":[1],"small":[2],"dataset":[3],"learning":[4],"tasks,":[5],"however,":[6],"owing":[7],"to":[8,24,37,59,68],"the":[9,13,30,43,48,52,61,66,89,91,95,100],"incomplete":[10,31],"data":[11,32,39,63],"structure,":[12],"explicit":[14],"information":[15,27],"for":[16],"decision":[17],"making":[18],"is":[19,72,80],"limited.":[20],"This":[21],"research":[22,54],"aims":[23],"learn":[25],"more":[26,35],"hidden":[28],"inside":[29],"by":[33,47],"adding":[34],"samples":[36,58],"strengthen":[38],"structures.":[40,64],"Based":[41],"on":[42],"prior":[44],"knowledge":[45,96],"provided":[46,74],"M5'":[49,104],"model":[50],"tree,":[51],"proposed":[53],"mechanism":[55],"generates":[56],"artificial":[57],"enhance":[60],"crisp":[62],"Besides,":[65],"ability":[67],"handle":[69],"nominal":[70],"attributes":[71],"also":[73],"in":[75,83],"this":[76],"research,":[77],"while":[78],"it":[79],"usually":[81],"lacking":[82],"most":[84],"sample":[85],"generation":[86],"approaches.":[87],"experiments,":[90],"results":[92],"show":[93],"that":[94],"acquisition":[97],"capability":[98],"and":[99],"predictive":[101],"accuracies":[102],"of":[103],"are":[105],"improved.":[106]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2179599940","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-04-18T23:29:40.380067","created_date":"2016-06-24"}