{"id":"https://openalex.org/W2188457249","doi":"https://doi.org/10.1109/icmlc.2015.7340667","title":"Research on ordinal regression of interval valued data","display_name":"Research on ordinal regression of interval valued data","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2188457249","doi":"https://doi.org/10.1109/icmlc.2015.7340667","mag":"2188457249"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5101657077","display_name":"Zhu Hong","orcid":"https://orcid.org/0000-0003-0909-4894"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hong Zhu","raw_affiliation_strings":["Hebei University, Baoding, Hebei, CN"],"affiliations":[{"raw_affiliation_string":"Hebei University, Baoding, Hebei, CN","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017499347","display_name":"Junhai Zhai","orcid":"https://orcid.org/0000-0001-9962-7417"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Hai Zhai","raw_affiliation_strings":["College of Mathematics and Information Science, Hebei University, Baoding, Hebei, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Information Science, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779912","display_name":"Sufang Zhang","orcid":"https://orcid.org/0000-0002-7585-6490"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Su-Fang Zhang","raw_affiliation_strings":["Training Division of Hebei, Branch of Meteorological Cadres Training Institute China, Baoding, China"],"affiliations":[{"raw_affiliation_string":"Training Division of Hebei, Branch of Meteorological Cadres Training Institute China, Baoding, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101657077"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1003361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"c4 5","issue":null,"first_page":"866","last_page":"871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.979200005531311,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9772999882698059,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.803389310836792},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5761449337005615},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.5556057095527649},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5452329516410828},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5033606886863708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4995272159576416},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.4773521423339844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47073066234588623},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4384855628013611},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.43752893805503845},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.41148704290390015},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3922383785247803},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3794350028038025},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34183287620544434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3095448613166809}],"concepts":[{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.803389310836792},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5761449337005615},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.5556057095527649},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5452329516410828},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5033606886863708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4995272159576416},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.4773521423339844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47073066234588623},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4384855628013611},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.43752893805503845},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.41148704290390015},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3922383785247803},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3794350028038025},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34183287620544434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3095448613166809},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340667","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340667","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W353289977","https://openalex.org/W1504694836","https://openalex.org/W1594031697","https://openalex.org/W1874027545","https://openalex.org/W1973447801","https://openalex.org/W1973837973","https://openalex.org/W1995047796","https://openalex.org/W2051165371","https://openalex.org/W2071765874","https://openalex.org/W2088956881","https://openalex.org/W2146377317","https://openalex.org/W2147232804","https://openalex.org/W2154053567","https://openalex.org/W4235570552","https://openalex.org/W4236137412","https://openalex.org/W4249215961","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W4399574212","https://openalex.org/W2798701209","https://openalex.org/W4300104397","https://openalex.org/W2912776266","https://openalex.org/W4399569456","https://openalex.org/W2503289023","https://openalex.org/W4236496007","https://openalex.org/W1539030525","https://openalex.org/W2313068166","https://openalex.org/W1572610764"],"abstract_inverted_index":{"Traditional":[0],"regression":[1,8,22],"algorithms":[2],"can":[3,76],"only":[4],"deal":[5,16],"with":[6,17,27],"non-ordinal":[7],"problems":[9],"of":[10,20,23,58,69,82],"crisp":[11],"data.":[12],"In":[13],"order":[14],"to":[15],"the":[18,21,28,39,47,56,59,70,79,83,88],"problem":[19],"interval":[24,44],"valued":[25],"data":[26],"monotonie":[29,89],"constraint,":[30],"an":[31],"algorithm":[32,54,72],"is":[33,50,73],"proposed":[34,53,71],"in":[35],"this":[36],"paper,":[37],"where":[38],"condition":[40,94],"attributes":[41,95],"are":[42],"ordinal":[43],"values":[45],"and":[46,61,87,96],"decision":[48,84,97],"attribute":[49,85],"continuous.":[51],"The":[52,67],"employs":[55],"combination":[57],"variance":[60],"rank":[62],"mutual":[63],"information":[64],"as":[65],"heuristic.":[66],"advantage":[68],"that":[74,92],"it":[75],"consider":[77],"both":[78],"dispersion":[80],"degree":[81,91],"value":[86],"consistency":[90],"between":[93],"attribute.":[98]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
