{"id":"https://openalex.org/W2180718409","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337807","title":"Network based rule representation for knowledge discovery and predictive modelling","display_name":"Network based rule representation for knowledge discovery and predictive modelling","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2180718409","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7337807","mag":"2180718409"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7337807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5029498141","display_name":"Han Liu","orcid":"https://orcid.org/0000-0001-6921-2050"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Han Liu","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, United Kingdom","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016380950","display_name":"Alexander Gegov","orcid":"https://orcid.org/0000-0002-6166-296X"},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alexander Gegov","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, United Kingdom","institution_ids":["https://openalex.org/I63072094"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109060474","display_name":"Mihaela Cocea","orcid":null},"institutions":[{"id":"https://openalex.org/I63072094","display_name":"University of Portsmouth","ror":"https://ror.org/03ykbk197","country_code":"GB","type":"education","lineage":["https://openalex.org/I63072094"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mihaela Cocea","raw_affiliation_strings":["School of Computing, University of Portsmouth, Portsmouth, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, University of Portsmouth, Portsmouth, United Kingdom","institution_ids":["https://openalex.org/I63072094"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I63072094"],"apc_list":null,"apc_paid":null,"fwci":3.1857,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.93039983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T10320","display_name":"Neural Networks and Applications","score":0.9955999851226807,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9948999881744385,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7113357186317444},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.6275333166122437},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5048242211341858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45525702834129333},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4447310268878937},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.41984379291534424},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.404572457075119},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39816945791244507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7113357186317444},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.6275333166122437},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5048242211341858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45525702834129333},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4447310268878937},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.41984379291534424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.404572457075119},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39816945791244507},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7337807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7337807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:researchportal.port.ac.uk:publications/65abafb6-fdd8-41d1-9fc3-2ce9d506d4e2","is_oa":false,"landing_page_url":"https://researchportal.port.ac.uk/portal/en/publications/network-based-rule-representation-for-knowledge-discovery-and-predictive-modelling(65abafb6-fdd8-41d1-9fc3-2ce9d506d4e2).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401774","display_name":"Portsmouth Research Portal (University of Portsmouth)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63072094","host_organization_name":"University of Portsmouth","host_organization_lineage":["https://openalex.org/I63072094"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W133399480","https://openalex.org/W169454511","https://openalex.org/W196343976","https://openalex.org/W1485268022","https://openalex.org/W1565377632","https://openalex.org/W1671614046","https://openalex.org/W1978515644","https://openalex.org/W2008353316","https://openalex.org/W2009512774","https://openalex.org/W2036430976","https://openalex.org/W2049165798","https://openalex.org/W2125055259","https://openalex.org/W2163598528","https://openalex.org/W2252867830","https://openalex.org/W2482589566","https://openalex.org/W3158124029","https://openalex.org/W4230871308","https://openalex.org/W6605425455","https://openalex.org/W6606950346","https://openalex.org/W6633894697","https://openalex.org/W6678449394","https://openalex.org/W6684327724","https://openalex.org/W6812396461"],"related_works":["https://openalex.org/W1889934247","https://openalex.org/W2355172082","https://openalex.org/W2468156743","https://openalex.org/W1543444234","https://openalex.org/W2050166550","https://openalex.org/W2180718409","https://openalex.org/W991436591","https://openalex.org/W2380857765","https://openalex.org/W2001060744","https://openalex.org/W2520560802"],"abstract_inverted_index":{"Due":[0],"to":[1,23,45,83,131,145,180],"the":[2,18,25,132,135,154,186],"vast":[3],"and":[4,100,194],"rapid":[5],"increase":[6],"in":[7,129,147,178,189],"data,":[8],"data":[9,29,48],"mining":[10],"has":[11],"been":[12],"an":[13,56],"increasingly":[14],"important":[15],"tool":[16],"for":[17,59,96,115,126,140,162],"purpose":[19],"of":[20,27,65,93,134,156,191],"knowledge":[21,98,127],"discovery":[22,99,128],"prevent":[24],"presence":[26],"rich":[28],"but":[30],"poor":[31],"knowledge.":[32],"In":[33,50],"this":[34],"context,":[35],"machine":[36,52,66],"learning":[37,53,67],"can":[38,80],"be":[39,81,108],"seen":[40],"as":[41,72,77,89,120,137,139],"a":[42,85,90],"powerful":[43],"approach":[44,58],"achieve":[46],"intelligent":[47,57],"mining.":[49],"practice,":[51],"is":[54,124],"also":[55],"predictive":[60,101,141],"modelling.":[61,102],"A":[62,103],"special":[63,91],"type":[64,92],"methods,":[68],"which":[69,123],"are":[70,118,165,173],"known":[71,119],"rule":[73,86,104,121,157,163],"based":[74,87,105],"methods":[75],"such":[76],"decision":[78],"trees,":[79],"used":[82],"build":[84],"system":[88,106],"expert":[94],"systems":[95],"both":[97],"may":[107],"represented":[109],"through":[110],"different":[111],"structures.":[112],"The":[113,170],"techniques":[114,188],"representing":[116],"rules":[117],"representation,":[122],"significant":[125],"relation":[130],"interpretability":[133,193],"model,":[136],"well":[138],"modelling":[142],"with":[143,185],"regard":[144],"efficiency":[146],"predicting":[148],"unseen":[149],"instances.":[150],"This":[151],"paper":[152],"justifies":[153],"significance":[155],"representation.":[158],"Some":[159],"networked":[160],"topologies":[161,172],"representation":[164],"introduced":[166],"against":[167],"existing":[168,187],"techniques.":[169],"network":[171],"validated":[174],"using":[175],"complexity":[176],"analysis":[177],"order":[179],"show":[181],"their":[182],"advantages":[183],"comparing":[184],"terms":[190],"model":[192],"computational":[195],"efficiency.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
