{"id":"https://openalex.org/W2092258934","doi":"https://doi.org/10.1109/sysose.2008.4724163","title":"ACN: An associative classifier with negative rules","display_name":"ACN: An associative classifier with negative rules","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2092258934","doi":"https://doi.org/10.1109/sysose.2008.4724163","mag":"2092258934"},"language":"en","primary_location":{"id":"doi:10.1109/sysose.2008.4724163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2008.4724163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on System of Systems Engineering","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/A5103563094","display_name":"Gourab Kundu","orcid":"https://orcid.org/0000-0002-1480-6908"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Gourab Kundu","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319160","display_name":"Md. Monirul Islam","orcid":"https://orcid.org/0000-0002-8998-2850"},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Md. Monirul Islam","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka","institution_ids":["https://openalex.org/I183697816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111866170","display_name":"Sirajum Munir","orcid":null},"institutions":[{"id":"https://openalex.org/I183697816","display_name":"Bangladesh University of Engineering and Technology","ror":"https://ror.org/05a1qpv97","country_code":"BD","type":"education","lineage":["https://openalex.org/I183697816"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sirajum Munir","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I183697816"]},{"raw_affiliation_string":"Dept. of Comput. Sci. & Eng., Bangladesh Univ. of Eng. & Technol., Dhaka","institution_ids":["https://openalex.org/I183697816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7514,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89482006,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3213","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9976000189781189,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9872000217437744,"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/classifier","display_name":"Classifier (UML)","score":0.7713682651519775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718353271484375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6382710933685303},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.6215240955352783},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6135027408599854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5848784446716309},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5651459097862244},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.5490841269493103},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45714783668518066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3967805802822113},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1697322130203247}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7713682651519775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718353271484375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6382710933685303},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.6215240955352783},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6135027408599854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5848784446716309},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5651459097862244},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.5490841269493103},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45714783668518066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3967805802822113},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1697322130203247},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/sysose.2008.4724163","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sysose.2008.4724163","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Conference on System of Systems Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.473.8262","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.473.8262","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.faizulbari.com/files/conferences/2008/Kundu08.ACN.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.523.8268","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.523.8268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.virginia.edu/~sm7hr/docs/ACN_IEEE_CSE_08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1545990174","https://openalex.org/W1581468894","https://openalex.org/W1623342295","https://openalex.org/W1892399053","https://openalex.org/W2026562765","https://openalex.org/W2064853889","https://openalex.org/W2084134149","https://openalex.org/W2084812512","https://openalex.org/W2101044449","https://openalex.org/W2113741323","https://openalex.org/W2115866740","https://openalex.org/W2125055259","https://openalex.org/W2133991754","https://openalex.org/W2154642793","https://openalex.org/W2161349318","https://openalex.org/W2167681385","https://openalex.org/W2210278139","https://openalex.org/W3017143921","https://openalex.org/W4252403066","https://openalex.org/W6628750762","https://openalex.org/W6632827692","https://openalex.org/W6634656658","https://openalex.org/W6677034569"],"related_works":["https://openalex.org/W2751920613","https://openalex.org/W2415164632","https://openalex.org/W2238349241","https://openalex.org/W2355668701","https://openalex.org/W2370453500","https://openalex.org/W2079402849","https://openalex.org/W1561334777","https://openalex.org/W3012205960","https://openalex.org/W1533029210","https://openalex.org/W2148338580"],"abstract_inverted_index":{"Classification":[0],"using":[1],"association":[2,45],"rules":[3,46,59,79,92,96,129,173,188],"has":[4,38,145,156],"added":[5],"a":[6,54,160,175,181,199],"new":[7],"dimension":[8],"to":[9,122,158,179],"the":[10,35,40,48,57,71,109,168,198],"ongoing":[11],"research":[12],"for":[13,60,83,88,106,202],"accurate":[14,25,135],"classifiers.":[15,29],"Experiments":[16],"have":[17],"shown":[18],"that":[19,70,80,191,206],"these":[20,107,124],"classifiers":[21],"are":[22],"significantly":[23,222],"more":[24],"than":[26,225],"decision":[27],"tree":[28],"The":[30,116,138],"idea":[31,117],"behind":[32],"most":[33,65],"of":[34,42,56,100,118,140,170,184],"existing":[36],"approaches":[37,167],"been":[39,146],"mining":[41],"positive":[43,128],"class":[44],"from":[47,143,148,174],"training":[49,86],"set":[50],"and":[51,77,104,126,154,204],"then":[52],"selecting":[53],"subset":[55],"mined":[58],"future":[61],"predictions.":[62],"However,":[63],"in":[64],"cases,":[66],"it":[67],"is":[68,113,121,194,215],"found":[69],"final":[72],"classifier":[73,208,210],"contains":[74],"some":[75,85],"weak":[76,125],"inaccurate":[78,127],"were":[81,93],"selected":[82],"covering":[84],"instances":[87,103],"which":[89],"no":[90],"better":[91,223],"available.":[94],"These":[95],"make":[97],"poor":[98],"predictions":[99],"unseen":[101],"test":[102],"only":[105,217],"rules,":[108],"overall":[110],"classification":[111,176,192,229],"accuracy":[112,193,224],"drastically":[114],"reduced.":[115],"this":[119,155,203],"paper":[120,166],"eliminate":[123],"as":[130,132],"far":[131],"possible":[133],"by":[134,151,231],"negative":[136,141,172,187,212],"rules.":[137],"generation":[139],"associations":[142],"datasets":[144],"attacked":[147],"different":[149],"perspectives":[150],"various":[152],"authors":[153],"proved":[157],"be":[159],"very":[161],"computationally":[162],"expensive":[163],"task.":[164],"This":[165],"problem":[169],"generating":[171],"perspective,":[177],"how":[178],"generate":[180],"sufficient":[182],"number":[183],"high":[185],"quality":[186],"efficiently":[189],"so":[190],"enhanced.":[195],"We":[196],"extend":[197],"priori":[200],"algorithm":[201],"show":[205],"our":[207],"ldquoassociative":[209],"with":[211],"rulesrdquo":[213],"(ACN)":[214],"not":[216],"time-efficient":[218],"but":[219],"also":[220],"achieves":[221],"four":[226],"other":[227],"state-of-the-art":[228],"methods":[230],"experimenting":[232],"on":[233],"benchmark":[234],"UCI":[235],"datasets.":[236]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}