{"id":"https://openalex.org/W2202327137","doi":"https://doi.org/10.1142/s0129626415500024","title":"Parallel Associative Classification Data Mining Frameworks Based MapReduce","display_name":"Parallel Associative Classification Data Mining Frameworks Based MapReduce","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W2202327137","doi":"https://doi.org/10.1142/s0129626415500024","mag":"2202327137"},"language":"en","primary_location":{"id":"doi:10.1142/s0129626415500024","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626415500024","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/A5057725721","display_name":"Fadi Thabtah","orcid":null},"institutions":[{"id":"https://openalex.org/I186129607","display_name":"Canadian University of Dubai","ror":"https://ror.org/029zgsn59","country_code":"AE","type":"education","lineage":["https://openalex.org/I186129607"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Fadi Thabtah","raw_affiliation_strings":["E-Business Dept, Canadian University of Dubai, Dubai, UAE"],"affiliations":[{"raw_affiliation_string":"E-Business Dept, Canadian University of Dubai, Dubai, UAE","institution_ids":["https://openalex.org/I186129607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019274127","display_name":"Suhel Hammoud","orcid":"https://orcid.org/0000-0003-4086-368X"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Suhel Hammoud","raw_affiliation_strings":["Electronic and Computing Dept, Brunel University, Uxbridge, UK"],"affiliations":[{"raw_affiliation_string":"Electronic and Computing Dept, Brunel University, Uxbridge, UK","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041098437","display_name":"Hussein Abdel-Jaber","orcid":"https://orcid.org/0000-0001-9372-4558"},"institutions":[{"id":"https://openalex.org/I4210139873","display_name":"Arab Open University","ror":"https://ror.org/03vfnky71","country_code":"SA","type":"education","lineage":["https://openalex.org/I4210093932","https://openalex.org/I4210139873"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Hussein Abdel-Jaber","raw_affiliation_strings":["Faculty of Computer Studies-Kingdom of Saudi Arabia, Arab Open University, Kingdom of Saudi Arabia"],"affiliations":[{"raw_affiliation_string":"Faculty of Computer Studies-Kingdom of Saudi Arabia, Arab Open University, Kingdom of Saudi Arabia","institution_ids":["https://openalex.org/I4210139873"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057725721"],"corresponding_institution_ids":["https://openalex.org/I186129607"],"apc_list":null,"apc_paid":null,"fwci":7.1514,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96904006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"02","first_page":"1550002","last_page":"1550002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9934999942779541,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9627000093460083,"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/computer-science","display_name":"Computer science","score":0.792650043964386},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.7645590305328369},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6654396057128906},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6550408601760864},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6366997361183167},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5420748591423035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.458278626203537},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4571073651313782},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42683014273643494},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4123286306858063},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09645414352416992}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792650043964386},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.7645590305328369},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6654396057128906},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6550408601760864},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6366997361183167},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5420748591423035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.458278626203537},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4571073651313782},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42683014273643494},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4123286306858063},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09645414352416992},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0129626415500024","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0129626415500024","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1488440450","https://openalex.org/W1498800329","https://openalex.org/W1506285740","https://openalex.org/W1557615875","https://openalex.org/W1578151950","https://openalex.org/W1964508806","https://openalex.org/W1968601254","https://openalex.org/W1972907467","https://openalex.org/W1973347433","https://openalex.org/W1981420413","https://openalex.org/W1989380534","https://openalex.org/W2007227498","https://openalex.org/W2009853571","https://openalex.org/W2030969394","https://openalex.org/W2076354322","https://openalex.org/W2109701112","https://openalex.org/W2116762767","https://openalex.org/W2123504579","https://openalex.org/W2125055259","https://openalex.org/W2127218421","https://openalex.org/W2131718405","https://openalex.org/W2138061404","https://openalex.org/W2140838268","https://openalex.org/W2152626504","https://openalex.org/W2154642793","https://openalex.org/W2166685976","https://openalex.org/W2167681385","https://openalex.org/W2173213060"],"related_works":["https://openalex.org/W3176564347","https://openalex.org/W3031039437","https://openalex.org/W3204184292","https://openalex.org/W1985458517","https://openalex.org/W2355833770","https://openalex.org/W3101398262","https://openalex.org/W2951598131","https://openalex.org/W4221159459","https://openalex.org/W3138851421","https://openalex.org/W1533029210"],"abstract_inverted_index":{"Associative":[0],"classification":[1,12,207,242,247],"(AC)":[2],"is":[3,231],"a":[4,74,95,128,189],"research":[5],"topic":[6],"that":[7,99,229],"integrates":[8],"association":[9,162],"rules":[10],"with":[11,171,249],"in":[13,48,60,66,127,144,154,244],"data":[14,71,91,102,195,216],"mining":[15,88,164,237],"to":[16,36,108,233,251],"build":[17],"classifiers.":[18],"After":[19],"dissemination":[20],"of":[21,30,54,68,87,179,191,203],"the":[22,28,43,49,85,139,145,155,180,204,213,246],"Classification-based":[23],"Association":[24],"Rule":[25],"algorithm":[26,132,143,214],"(CBA),":[27],"majority":[29],"its":[31],"successors":[32],"have":[33,185,197],"been":[34,125,186,198],"developed":[35],"improve":[37],"either":[38],"CBA's":[39],"prediction":[40],"accuracy":[41,208],"or":[42,73,161,174],"search":[44],"for":[45,215],"frequent":[46,111,218],"ruleitems":[47,219],"rule":[50,163,221,224,240],"discovery":[51],"step.":[52],"Both":[53],"these":[55],"steps":[56,157],"require":[57],"high":[58],"demands":[59],"processing":[61],"time":[62,210],"and":[63,105,117,188,209,223,239],"memory":[64],"especially":[65],"cases":[67],"large":[69,89],"training":[70,90],"sets":[72,92,196],"low":[75],"minimum":[76],"support":[77],"threshold":[78],"value.":[79],"In":[80],"this":[81],"paper,":[82],"we":[83],"overcome":[84],"problem":[86],"by":[93,212],"proposing":[94],"new":[96,121,148],"learning":[97,122,149,181],"method":[98,123,150,182],"repeatedly":[100],"transforms":[101],"between":[103],"line":[104],"item":[106],"spaces":[107],"quickly":[109],"discover":[110],"ruleitems,":[112],"generate":[113],"rules,":[114],"subsequently":[115],"rank":[116],"prune":[118],"rules.":[119],"This":[120],"has":[124],"implemented":[126,187],"parallel":[129,141],"Map-Reduce":[130],"(MR)":[131],"called":[133],"MRMCAR":[134,230],"which":[135,166],"can":[136,151],"be":[137,152],"considered":[138],"first":[140],"AC":[142,160,236],"literature.":[146],"The":[147,200,226],"utilised":[153],"different":[156,194],"within":[158],"any":[159],"algorithms":[165,238,243],"scales":[167],"well":[168],"if":[169],"contrasted":[170],"current":[172,235],"horizontal":[173],"vertical":[175],"methods.":[176],"Two":[177],"versions":[178],"(Weka,":[183],"Hadoop)":[184],"number":[190],"experiments":[192],"against":[193],"conducted.":[199],"ground":[201],"bases":[202],"comparisons":[205],"are":[206],"required":[211],"initialization,":[217],"discovery,":[220],"generation":[222],"pruning.":[225],"results":[227],"reveal":[228],"superior":[232],"both":[234],"based":[241],"improving":[245],"performance":[248],"respect":[250],"accuracy.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}