{"id":"https://openalex.org/W2970857807","doi":"https://doi.org/10.1109/access.2019.2938022","title":"CP-Nets Structure Learning Based on mRMCR Principle","display_name":"CP-Nets Structure Learning Based on mRMCR Principle","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970857807","doi":"https://doi.org/10.1109/access.2019.2938022","mag":"2970857807"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2938022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938022","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08817961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08817961.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101427436","display_name":"Liu Su","orcid":"https://orcid.org/0000-0002-6505-0573"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Su Liu","raw_affiliation_strings":["School of Computer Science and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":"https://orcid.org/0000-0002-6505-0573","affiliations":[{"raw_affiliation_string":"School of Computer Science and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024217969","display_name":"Jinglei Liu","orcid":"https://orcid.org/0000-0002-5388-6920"},"institutions":[{"id":"https://openalex.org/I18452120","display_name":"Yantai University","ror":"https://ror.org/01rp41m56","country_code":"CN","type":"education","lineage":["https://openalex.org/I18452120"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinglei Liu","raw_affiliation_strings":["School of Computer Science and Control Engineering, Yantai University, Yantai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Control Engineering, Yantai University, Yantai, China","institution_ids":["https://openalex.org/I18452120"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I18452120"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3856,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64290803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"121482","last_page":"121492"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994000196456909,"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":0.9994000196456909,"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/mutual-information","display_name":"Mutual information","score":0.705175518989563},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6053186058998108},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5596940517425537},{"id":"https://openalex.org/keywords/conditional-mutual-information","display_name":"Conditional mutual information","score":0.5383464097976685},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.49763253331184387},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.4919733703136444},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43117621541023254},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.4135666489601135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39977574348449707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38997071981430054},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3675724267959595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3547621965408325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32995548844337463}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.705175518989563},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6053186058998108},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5596940517425537},{"id":"https://openalex.org/C124805900","wikidata":"https://www.wikidata.org/wiki/Q5159269","display_name":"Conditional mutual information","level":3,"score":0.5383464097976685},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.49763253331184387},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.4919733703136444},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43117621541023254},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4135666489601135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39977574348449707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38997071981430054},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3675724267959595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3547621965408325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32995548844337463},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2938022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938022","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08817961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:4ba569b38a094501a7c7f093f417e9a6","is_oa":true,"landing_page_url":"https://doaj.org/article/4ba569b38a094501a7c7f093f417e9a6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 121482-121492 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2938022","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2938022","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08817961.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G212376329","display_name":null,"funder_award_id":"61773331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2436942900","display_name":null,"funder_award_id":"61703360","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5980039268","display_name":null,"funder_award_id":"61572419","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970857807.pdf","grobid_xml":"https://content.openalex.org/works/W2970857807.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W148856602","https://openalex.org/W1484532201","https://openalex.org/W1495878145","https://openalex.org/W1523989055","https://openalex.org/W1537362768","https://openalex.org/W1988793717","https://openalex.org/W1991983453","https://openalex.org/W1996949426","https://openalex.org/W2007195725","https://openalex.org/W2008886893","https://openalex.org/W2017337590","https://openalex.org/W2031545685","https://openalex.org/W2038431270","https://openalex.org/W2063551607","https://openalex.org/W2100253618","https://openalex.org/W2114523181","https://openalex.org/W2114660707","https://openalex.org/W2118092075","https://openalex.org/W2143226534","https://openalex.org/W2204508432","https://openalex.org/W2296367204","https://openalex.org/W2436697976","https://openalex.org/W2470897470","https://openalex.org/W2485657344","https://openalex.org/W2613933396","https://openalex.org/W2731557136","https://openalex.org/W2783162988","https://openalex.org/W2804302341","https://openalex.org/W2809962171","https://openalex.org/W2909573631","https://openalex.org/W6606051750","https://openalex.org/W6632239372","https://openalex.org/W6677239045","https://openalex.org/W6740918421"],"related_works":["https://openalex.org/W4205619203","https://openalex.org/W3135541457","https://openalex.org/W4313429060","https://openalex.org/W3164528651","https://openalex.org/W3004516760","https://openalex.org/W2044289181","https://openalex.org/W181490901","https://openalex.org/W2337819340","https://openalex.org/W3048654224","https://openalex.org/W4390964098"],"abstract_inverted_index":{"As":[0],"a":[1,38,60,114],"graphical":[2,101],"model,":[3],"Conditional":[4],"Preference":[5],"Networks":[6],"(CP-nets)":[7],"are":[8],"used":[9],"to":[10,98],"describe":[11],"the":[12,19,27,48,66,89,109,126,132,140,145,148,153,162,170,181,191],"qualitative":[13],"conditional":[14,92],"preferences":[15],"of":[16,29,91,111,142,147,185,194],"attributes,":[17],"and":[18,51,56,81,107,130,137,176,188],"structure":[20,35,141,193],"learning":[21,36],"plays":[22],"an":[23],"important":[24],"role":[25],"in":[26,96],"research":[28],"CP-nets.":[30,143,195],"Different":[31],"from":[32],"traditional":[33],"CP-nets":[34],"methods,":[37],"Maximum":[39],"Relevance":[40],"Minimum":[41],"Common":[42],"Redundancy":[43],"(mRMCR)":[44],"algorithm":[45,123,149,165],"based":[46],"on":[47,65,152],"information":[49,62,74],"theory":[50],"feature":[52],"selection":[53],"is":[54,69,119,150],"proposed":[55,163],"discussed":[57],"detailedly.":[58],"Firstly,":[59],"mutual":[61,73,76,93],"solution":[63],"formula":[64,115],"preference":[67],"database":[68],"established,":[70],"it":[71],"regards":[72],"as":[75],"relation":[77],"between":[78,135,173],"one":[79],"attribute":[80,187],"its":[82],"feasible":[83,182],"father":[84,183],"set,":[85],"which":[86],"also":[87,179],"avoids":[88],"calculation":[90],"information.":[94],"Secondly,":[95],"order":[97],"make":[99],"our":[100],"model":[102],"include":[103],"relevant,":[104],"exclude":[105],"irrelevant":[106],"control":[108],"use":[110],"redundant":[112],"features,":[113],"for":[116],"calculating":[117],"mRMCR":[118,122,164],"designed.":[120],"The":[121,157],"can":[124,138,166],"measure":[125],"dependent":[127],"relationship":[128,134,172],"effectively":[129,177],"determine":[131],"causal":[133,171],"variables,":[136],"get":[139],"Finally,":[144],"effectiveness":[146],"verified":[151],"movie":[154],"recommendation":[155],"datasets.":[156],"experimental":[158],"results":[159],"show":[160],"that":[161],"not":[167],"only":[168],"obtain":[169,190],"variables":[174],"quickly":[175],"but":[178],"extract":[180],"set":[184],"each":[186],"then":[189],"topological":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
