{"id":"https://openalex.org/W2079579226","doi":"https://doi.org/10.1109/bigdata.2014.7004440","title":"RuleMR: Classification rule discovery with MapReduce","display_name":"RuleMR: Classification rule discovery with MapReduce","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2079579226","doi":"https://doi.org/10.1109/bigdata.2014.7004440","mag":"2079579226"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2014.7004440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","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/A5024971243","display_name":"Vasilis Kolias","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Vasilis Kolias","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece","National Technical University of Athens  Athens Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"National Technical University of Athens  Athens Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088023851","display_name":"Constantinos Kolias","orcid":"https://orcid.org/0000-0002-3020-291X"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Constantinos Kolias","raw_affiliation_strings":["George Mason University, Fairfax VA, U.S.A","George Mason University, Fairfax, VA, U.S.A"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax VA, U.S.A","institution_ids":[]},{"raw_affiliation_string":"George Mason University, Fairfax, VA, U.S.A","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045528384","display_name":"Ioannis Anagnostopoulos","orcid":"https://orcid.org/0000-0002-0832-0522"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Ioannis Anagnostopoulos","raw_affiliation_strings":["University of Thessaly, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"University of Thessaly, Lamia, Greece","institution_ids":["https://openalex.org/I145722265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001086236","display_name":"E. Kayafas","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Eleftherios Kayafas","raw_affiliation_strings":["National Technical University of Athens, Athens, Greece","National Technical University of Athens  Athens Greece"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]},{"raw_affiliation_string":"National Technical University of Athens  Athens Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5024971243"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":2.0451,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89412556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","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/T12761","display_name":"Data Stream Mining Techniques","score":0.9947999715805054,"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/T11719","display_name":"Data Quality and Management","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.892587423324585},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6742377877235413},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5908997654914856},{"id":"https://openalex.org/keywords/de-facto","display_name":"De facto","score":0.5248639583587646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5072459578514099},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4866543412208557},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.4607264995574951},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4438028633594513},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4397861361503601},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41581061482429504}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.892587423324585},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6742377877235413},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5908997654914856},{"id":"https://openalex.org/C2992317946","wikidata":"https://www.wikidata.org/wiki/Q712144","display_name":"De facto","level":2,"score":0.5248639583587646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5072459578514099},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4866543412208557},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.4607264995574951},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4438028633594513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4397861361503601},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41581061482429504},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bigdata.2014.7004440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2014.7004440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.lib.uth.gr:11615/29529","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/29529","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.scopus.com/inward/record.url?eid=2-s2.0-84921734761&amp;partnerID=40&amp;md5=477184b29dc4a7584439c5d55b1789b0","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W132503990","https://openalex.org/W193228784","https://openalex.org/W567065710","https://openalex.org/W1518053057","https://openalex.org/W1570286060","https://openalex.org/W1865067283","https://openalex.org/W1985624015","https://openalex.org/W1995797177","https://openalex.org/W2026705124","https://openalex.org/W2041325010","https://openalex.org/W2044936152","https://openalex.org/W2056981018","https://openalex.org/W2071215178","https://openalex.org/W2106487875","https://openalex.org/W2116762767","https://openalex.org/W2119738171","https://openalex.org/W2126399065","https://openalex.org/W2126430683","https://openalex.org/W2129714679","https://openalex.org/W2132166479","https://openalex.org/W2132536544","https://openalex.org/W2136000097","https://openalex.org/W2148497813","https://openalex.org/W2149706766","https://openalex.org/W2159047538","https://openalex.org/W2164604674","https://openalex.org/W2173213060","https://openalex.org/W2531447065","https://openalex.org/W2908484148","https://openalex.org/W3120740533","https://openalex.org/W3189823449","https://openalex.org/W4211012425","https://openalex.org/W4234760406","https://openalex.org/W4236137412","https://openalex.org/W6607917175","https://openalex.org/W6615847623","https://openalex.org/W6631160531","https://openalex.org/W6634111069","https://openalex.org/W6728497777","https://openalex.org/W6757855584"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"The":[0,61],"vast":[1],"amounts":[2],"of":[3,81,102,153,169,187,208],"data":[4],"generated,":[5],"exchanged":[6],"and":[7,16,38,89,98],"consumed":[8],"on":[9,42,115,136],"a":[10,21,122,167],"daily":[11],"basis":[12],"by":[13],"contemporary":[14],"networks":[15],"devices":[17],"renders":[18],"their":[19],"analysis":[20],"cumbersome":[22],"procedure":[23],"with":[24,182],"inherent":[25,100],"difficulties.":[26],"On":[27,48],"the":[28,31,49,69,99,147,150,158,162,175,185,188,196],"one":[29],"hand,":[30],"need":[32],"for":[33,73,104],"efficient":[34],"Machine":[35,108],"Learning":[36,109],"algorithms":[37,110,205],"tools":[39],"that":[40,174],"scale":[41],"large":[43],"datasets":[44],"is":[45,85,199],"continuously":[46],"growing.":[47],"other,":[50],"parallel":[51],"or":[52],"distributed":[53,151],"solutions":[54],"have":[55],"proven":[56],"to":[57,93,140,155,184,201],"conceal":[58],"many":[59,194,202],"pitfalls.":[60],"MapReduce":[62,154],"programming":[63],"model":[64,72,97,198],"has":[65],"quickly":[66],"emerged":[67],"as":[68],"de":[70],"facto":[71],"executing":[74],"simple":[75],"algorithmic":[76],"tasks":[77],"over":[78],"huge":[79],"volumes":[80],"data,":[82],"since":[83],"it":[84],"simple,":[86],"highly":[87],"abstract":[88],"efficient.":[90],"However,":[91],"due":[92],"its":[94,131],"unidirectional":[95],"communication":[96],"lack":[101],"support":[103],"iterative":[105,132],"execution,":[106],"few":[107],"can":[111,134],"easily":[112],"be":[113],"implemented":[114],"MapReduce.":[116,137],"In":[117,138],"this":[118],"paper,":[119],"we":[120],"present":[121],"classification":[123],"rule":[124],"discovery":[125],"algorithm,":[126],"namely":[127],"RuleMR,":[128],"which":[129,172],"despite":[130],"nature,":[133],"capitalize":[135],"order":[139],"construct":[141],"quality":[142],"rules":[143],"in":[144,161,193,206],"less":[145],"iterations,":[146],"algorithm":[148],"exploits":[149],"nature":[152],"explore":[156],"only":[157,179],"promising":[159],"areas":[160],"search":[163],"space.":[164],"We":[165],"conduct":[166],"series":[168],"experimental":[170],"evaluations":[171],"indicate":[173],"proposed":[176],"approach":[177],"not":[178],"scales":[180],"well":[181,203],"respect":[183],"size":[186],"training":[189],"dataset,":[190],"but":[191],"also,":[192],"cases,":[195],"resulting":[197],"comparable":[200],"known":[204],"matters":[207],"accuracy.":[209]},"counts_by_year":[{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
