{"id":"https://openalex.org/W2148850601","doi":"https://doi.org/10.1109/fuzzy.2010.5584154","title":"FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining","display_name":"FPrep: Fuzzy clustering driven efficient automated pre-processing for fuzzy association rule mining","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2148850601","doi":"https://doi.org/10.1109/fuzzy.2010.5584154","mag":"2148850601"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","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/A5034558513","display_name":"Ashish Mangalampalli","orcid":null},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashish Mangalampalli","raw_affiliation_strings":["Centre of Data Engineering, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Centre of Data Engineering, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040098950","display_name":"Vikram Pudi","orcid":"https://orcid.org/0000-0002-0589-6366"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vikram Pudi","raw_affiliation_strings":["Centre of Data Engineering, International Institute of Information Technology, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"Centre of Data Engineering, International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034558513"],"corresponding_institution_ids":["https://openalex.org/I64189192"],"apc_list":null,"apc_paid":null,"fwci":4.8559,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95578684,"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":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958999752998352,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9847000241279602,"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/data-mining","display_name":"Data mining","score":0.7115657329559326},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6725555658340454},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.6587001085281372},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.6429615616798401},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5962285995483398},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.5924492478370667},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5794064402580261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5186131000518799},{"id":"https://openalex.org/keywords/fuzzy-associative-matrix","display_name":"Fuzzy associative matrix","score":0.5035945773124695},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4816238284111023},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.46452534198760986},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.46330055594444275},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.4601387083530426},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.43261411786079407},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.417830228805542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4051726758480072},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3915031850337982},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.2810012102127075},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.061205506324768066}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7115657329559326},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6725555658340454},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.6587001085281372},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6429615616798401},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5962285995483398},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.5924492478370667},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5794064402580261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5186131000518799},{"id":"https://openalex.org/C144170203","wikidata":"https://www.wikidata.org/wiki/Q5511099","display_name":"Fuzzy associative matrix","level":5,"score":0.5035945773124695},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4816238284111023},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.46452534198760986},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.46330055594444275},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.4601387083530426},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.43261411786079407},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.417830228805542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4051726758480072},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3915031850337982},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.2810012102127075},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.061205506324768066}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W75006121","https://openalex.org/W1484413656","https://openalex.org/W1524034832","https://openalex.org/W1529924544","https://openalex.org/W1545990174","https://openalex.org/W1576179400","https://openalex.org/W1582134494","https://openalex.org/W1990368529","https://openalex.org/W2002041442","https://openalex.org/W2019273138","https://openalex.org/W2026301394","https://openalex.org/W2064853889","https://openalex.org/W2069593643","https://openalex.org/W2091438503","https://openalex.org/W2113076747","https://openalex.org/W2115482638","https://openalex.org/W2118572451","https://openalex.org/W2120758577","https://openalex.org/W2166559705","https://openalex.org/W2166657279","https://openalex.org/W2912565176","https://openalex.org/W2998574808","https://openalex.org/W4211007335","https://openalex.org/W6628750762","https://openalex.org/W6631198474","https://openalex.org/W6631764644","https://openalex.org/W6632827692","https://openalex.org/W6634383820"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2331106272","https://openalex.org/W1542808721","https://openalex.org/W2148720919","https://openalex.org/W173448675","https://openalex.org/W2960454922","https://openalex.org/W116041356","https://openalex.org/W610756163","https://openalex.org/W85606319","https://openalex.org/W2130902926"],"abstract_inverted_index":{"Conventional":[0],"Association":[1],"Rule":[2],"Mining":[3],"(ARM)":[4],"algorithms":[5],"usually":[6],"deal":[7],"with":[8,10,97],"datasets":[9],"binary":[11,22,50],"values,":[12],"and":[13,69,121,170,199,213],"expect":[14],"any":[15,56,77,159],"numerical":[16],"values":[17,46],"to":[18,21,31,35,43,49,54,62,91,107,117,126,158],"be":[19,82,92,154],"converted":[20],"ones":[23],"using":[24,114,211],"sharp":[25,63],"partitions,":[26,120],"like":[27,195],"Age":[28],"=":[29],"25":[30],"60.":[32],"In":[33],"order":[34],"mitigate":[36],"this":[37,109],"constraint,":[38],"Fuzzy":[39],"logic":[40],"is":[41,179],"used":[42,155],"convert":[44],"quantitative":[45],"of":[47,58,134,161,166,206,216],"attributes":[48],"ones,":[51],"so":[52],"as":[53,156],"eliminate":[55],"loss":[57],"information":[59],"arising":[60],"due":[61],"partitioning,":[64],"especially":[65],"at":[66],"partition":[67],"boundaries,":[68],"then":[70,122],"generate":[71,118],"fuzzy":[72,78,98,115,119,129,132,140,162,172,208,222],"association":[73],"rules.":[74],"But,":[75],"before":[76],"ARM":[79,163,223],"algorithm":[80,224],"can":[81,153],"used,":[83],"the":[84,135,139,204,207,214],"original":[85,136],"dataset":[86],"(with":[87,131],"crisp":[88],"attributes)":[89],"needs":[90],"transformed":[93],"into":[94],"a":[95,103,128,147,221],"form":[96],"attributes.":[99],"This":[100],"paper":[101],"describes":[102],"methodology,":[104],"called":[105],"FPrep,":[106,212],"do":[108],"pre-processing,":[110],"which":[111,188],"first":[112],"involves":[113],"clustering":[116,197],"uses":[123],"these":[124],"partitions":[125,209],"get":[127],"version":[130],"records)":[133,143],"dataset.":[137],"Ultimately,":[138],"data":[141],"(fuzzy":[142],"are":[144],"represented":[145],"in":[146,189],"standard":[148],"manner":[149],"such":[150,184],"that":[151,177],"they":[152],"input":[157],"kind":[160],"algorithm,":[164],"irrespective":[165],"how":[167],"it":[168],"works":[169],"processes":[171],"data.":[173],"We":[174],"also":[175],"show":[176],"FPrep":[178],"much":[180],"faster":[181],"than":[182],"other":[183],"comparable":[185],"transformation":[186],"techniques,":[187,194],"turn":[190],"depend":[191],"on":[192],"non-fuzzy":[193],"hard":[196],"(CLARANS":[198],"CURE).":[200],"Moreover,":[201],"we":[202],"illustrate":[203],"quality":[205],"generated":[210,219],"number":[215],"frequent":[217],"itemsets":[218],"by":[220,227],"when":[225],"preceded":[226],"FPrep.":[228]},"counts_by_year":[{"year":2023,"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":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
