{"id":"https://openalex.org/W2156886187","doi":"https://doi.org/10.1109/fuzzy.2010.5584127","title":"FACISME: Fuzzy associative classification using iterative scaling and maximum entropy","display_name":"FACISME: Fuzzy associative classification using iterative scaling and maximum entropy","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2156886187","doi":"https://doi.org/10.1109/fuzzy.2010.5584127","mag":"2156886187"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2010.5584127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584127","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":1.3531,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85273579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"29","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9987999796867371,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9987999796867371,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.998199999332428,"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/T10320","display_name":"Neural Networks and Applications","score":0.9926999807357788,"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":0.7126489281654358},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.650982677936554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6166434288024902},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5870070457458496},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5777268409729004},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5336711406707764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4909105896949768},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41234803199768066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30876171588897705},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0728832483291626}],"concepts":[{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.7126489281654358},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.650982677936554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166434288024902},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5870070457458496},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5777268409729004},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5336711406707764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4909105896949768},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41234803199768066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30876171588897705},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0728832483291626},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2010.5584127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2010.5584127","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":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1484413656","https://openalex.org/W1549841147","https://openalex.org/W1557074680","https://openalex.org/W1623342295","https://openalex.org/W1670263352","https://openalex.org/W1817561967","https://openalex.org/W1966666559","https://openalex.org/W1972071974","https://openalex.org/W1986967485","https://openalex.org/W1990368529","https://openalex.org/W2001792610","https://openalex.org/W2019273138","https://openalex.org/W2026301394","https://openalex.org/W2069593643","https://openalex.org/W2073102330","https://openalex.org/W2089611415","https://openalex.org/W2091438503","https://openalex.org/W2094974204","https://openalex.org/W2118572451","https://openalex.org/W2120758577","https://openalex.org/W2125055259","https://openalex.org/W2126592066","https://openalex.org/W2138061404","https://openalex.org/W2154642793","https://openalex.org/W2164400088","https://openalex.org/W2167681385","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4285719527","https://openalex.org/W6628750762","https://openalex.org/W6682837551","https://openalex.org/W6684495928"],"related_works":["https://openalex.org/W141820298","https://openalex.org/W1492794944","https://openalex.org/W2049584446","https://openalex.org/W2079781215","https://openalex.org/W4378770497","https://openalex.org/W4308245303","https://openalex.org/W2014033564","https://openalex.org/W3041490575","https://openalex.org/W2970690932","https://openalex.org/W2110715801"],"abstract_inverted_index":{"All":[0],"associative":[1,35],"classifiers":[2],"developed":[3],"till":[4],"now":[5],"are":[6],"crisp":[7],"in":[8,43,112],"nature,":[9],"and":[10,26,78,103,122,133,141],"thus":[11,60],"use":[12],"sharp":[13],"partitioning":[14],"to":[15,19,49,53,91],"transform":[16],"numerical":[17,51,69,138],"attributes":[18,52,136],"binary":[20],"ones":[21],"like":[22,56],"\u201cIncome":[23,57],"=":[24,58],"[100K":[25],"above]\u201d.":[27],"On":[28],"the":[29,32,62,92,98,113],"other":[30],"hand,":[31],"novel":[33],"fuzzy":[34,47,54],"classification":[36,114],"algorithm":[37],"called":[38],"FACISME,":[39],"which":[40,84],"we":[41],"propose":[42],"this":[44],"paper,":[45],"uses":[46,79],"logic":[48],"convert":[50],"attributes,":[55],"High\u201d,":[59],"maintaining":[61],"integrity":[63],"of":[64,83,97,101,110,128,131,135],"information":[65],"conveyed":[66],"by":[67],"such":[68],"attributes.":[70],"Moreover,":[71],"FACISME":[72,117],"is":[73,95],"based":[74],"on":[75],"maximum":[76],"entropy,":[77],"iterative":[80],"scaling,":[81],"both":[82],"lend":[85],"a":[86],"very":[87,119],"strong":[88],"theoretical":[89],"foundation":[90],"algorithm.":[93],"Entropy":[94],"one":[96],"best":[99],"measures":[100],"information,":[102],"maximum-entropy-based":[104],"algorithms":[105],"do":[106],"not":[107],"assume":[108],"independence":[109],"parameters":[111],"process.":[115],"Thus,":[116],"provides":[118],"good":[120],"accuracy,":[121],"can":[123],"work":[124],"with":[125],"all":[126],"types":[127],"datasets":[129],"(irrespective":[130],"size":[132],"type":[134],"-":[137],"or":[139],"binary)":[140],"domains.":[142]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}