{"id":"https://openalex.org/W2070465068","doi":"https://doi.org/10.1142/s0129626414500017","title":"Multi-Label Rules Algorithm Based Associative Classification","display_name":"Multi-Label Rules Algorithm Based Associative Classification","publication_year":2014,"publication_date":"2014-03-01","ids":{"openalex":"https://openalex.org/W2070465068","doi":"https://doi.org/10.1142/s0129626414500017","mag":"2070465068"},"language":"en","primary_location":{"id":"doi:10.1142/s0129626414500017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626414500017","pdf_url":null,"source":{"id":"https://openalex.org/S18360026","display_name":"Parallel Processing Letters","issn_l":"0129-6264","issn":["0129-6264","1793-642X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Parallel Processing Letters","raw_type":"journal-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/A5052862524","display_name":"Neda Abdelhamid","orcid":"https://orcid.org/0000-0003-3638-8919"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Neda Abdelhamid","raw_affiliation_strings":["School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, UK","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055169998","display_name":"Aladdin Ayesh","orcid":"https://orcid.org/0000-0002-5883-6113"},"institutions":[{"id":"https://openalex.org/I66943878","display_name":"De Montfort University","ror":"https://ror.org/0312pnr83","country_code":"GB","type":"education","lineage":["https://openalex.org/I66943878"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Aladdin Ayesh","raw_affiliation_strings":["School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, UK"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Informatics, De Montfort University, Leicester, LE1 9BH, UK","institution_ids":["https://openalex.org/I66943878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019997069","display_name":"Wael Hadi","orcid":"https://orcid.org/0000-0002-7575-9287"},"institutions":[{"id":"https://openalex.org/I36622005","display_name":"Petra University","ror":"https://ror.org/039d9es10","country_code":"JO","type":"education","lineage":["https://openalex.org/I36622005"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Wael Hadi","raw_affiliation_strings":["MIS Dept., Petra University, Amman, Jordan"],"affiliations":[{"raw_affiliation_string":"MIS Dept., Petra University, Amman, Jordan","institution_ids":["https://openalex.org/I36622005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5052862524"],"corresponding_institution_ids":["https://openalex.org/I66943878"],"apc_list":null,"apc_paid":null,"fwci":2.045,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.89357663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"24","issue":"01","first_page":"1450001","last_page":"1450001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9994999766349792,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9970999956130981,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9915000200271606,"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/associative-property","display_name":"Associative property","score":0.654460072517395},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6433664560317993},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5236384868621826},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5209154486656189},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46340203285217285},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4159356951713562},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2484259009361267}],"concepts":[{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.654460072517395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6433664560317993},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5236384868621826},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5209154486656189},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46340203285217285},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4159356951713562},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2484259009361267},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0129626414500017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626414500017","pdf_url":null,"source":{"id":"https://openalex.org/S18360026","display_name":"Parallel Processing Letters","issn_l":"0129-6264","issn":["0129-6264","1793-642X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Parallel Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1973347433","https://openalex.org/W2002062817","https://openalex.org/W2053463056","https://openalex.org/W2138061404","https://openalex.org/W2152626504","https://openalex.org/W2245248522","https://openalex.org/W4230835027"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4211088005","https://openalex.org/W3200179079","https://openalex.org/W4249229055","https://openalex.org/W2880406958","https://openalex.org/W2556319748","https://openalex.org/W2512018286","https://openalex.org/W4310989423","https://openalex.org/W3158264953","https://openalex.org/W2150373663"],"abstract_inverted_index":{"Current":[0],"associative":[1],"classification":[2],"(AC)":[3],"algorithms":[4],"generate":[5],"only":[6],"the":[7,16,60,86,90,97,110,128],"most":[8],"obvious":[9],"class":[10],"linked":[11],"with":[12,48,70,142],"a":[13,31,71,122],"rule":[14,72],"in":[15,105],"training":[17,62,79],"data":[18,63,80,119],"set":[19,64],"and":[20],"ignore":[21],"all":[22,66],"other":[23],"classes.":[24],"We":[25],"handle":[26],"this":[27],"problem":[28,104,125,131],"by":[29],"proposing":[30],"learning":[32],"algorithm":[33,56,88],"based":[34,40],"on":[35],"AC":[36,106,144],"called":[37],"Multi-label":[38],"Classifiers":[39],"Associative":[41],"Classification":[42],"(MCAC)":[43],"that":[44,94,133],"learns":[45],"rules":[46,100],"associated":[47],"multiple":[49],"classes":[50,68],"from":[51,59],"single":[52],"label":[53],"data.":[54],"MCAC":[55,87],"extracts":[57],"classifiers":[58],"whole":[61],"discovering":[65],"possible":[67],"connected":[69],"as":[73,75,127],"long":[74],"they":[76],"have":[77],"sufficient":[78],"representation.":[81],"Another":[82],"distinguishing":[83],"feature":[84],"of":[85,99,113],"is":[89,109,137],"classifier":[91],"building":[92],"method":[93],"cuts":[95],"down":[96],"number":[98],"treating":[101],"one":[102],"known":[103,126,143],"mining":[107],"which":[108],"exponential":[111],"growth":[112],"rules.":[114],"Experimentations":[115],"using":[116],"real":[117],"application":[118],"related":[120],"to":[121],"complex":[123],"scheduling":[124],"trainer":[129],"timetabling":[130],"reveal":[132],"MCAC's":[134],"predictive":[135],"accuracy":[136],"highly":[138],"competitive":[139],"if":[140],"contrasted":[141],"algorithms.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}