{"id":"https://openalex.org/W4401072452","doi":"https://doi.org/10.1109/memea60663.2024.10596809","title":"Improved Sequential Fuzzy Indexed Search Trees for Fast Classification","display_name":"Improved Sequential Fuzzy Indexed Search Trees for Fast Classification","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4401072452","doi":"https://doi.org/10.1109/memea60663.2024.10596809"},"language":"en","primary_location":{"id":"doi:10.1109/memea60663.2024.10596809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea60663.2024.10596809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5062437874","display_name":"Bal\u00e1zs Tusor","orcid":null},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"J. Selye University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Bal\u00e1zs Tusor","raw_affiliation_strings":["J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053864965","display_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","orcid":"https://orcid.org/0000-0002-6932-8608"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"J. Selye University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Annam\u00e1ria R. V\u00e1rkonyi-K\u00f3czy","raw_affiliation_strings":["J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103199772","display_name":"\u0160tefan Gubo","orcid":"https://orcid.org/0009-0001-7386-3187"},"institutions":[{"id":"https://openalex.org/I216306336","display_name":"J. Selye University","ror":"https://ror.org/00zevd106","country_code":"SK","type":"education","lineage":["https://openalex.org/I216306336"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"\u0160tefan Gubo","raw_affiliation_strings":["J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"J. Selye University,Department of Informatics,Kom&#x00E1;rno,Slovakia","institution_ids":["https://openalex.org/I216306336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63130025,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9319000244140625,"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":0.9319000244140625,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9200000166893005,"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/T11106","display_name":"Data Management and Algorithms","score":0.906499981880188,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.677217423915863},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396265387535095},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5160222053527832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3641391694545746},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35727840662002563},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.339022159576416}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.677217423915863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396265387535095},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5160222053527832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3641391694545746},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35727840662002563},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.339022159576416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea60663.2024.10596809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea60663.2024.10596809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7184460419","display_name":null,"funder_award_id":"NFP313010T504","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335908","display_name":"Nemzeti Kutat\u00e1si, Fejleszt\u00e9si \u00e9s Innovaci\u00f3s Alap","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2523735602","https://openalex.org/W2586670839","https://openalex.org/W2945902090","https://openalex.org/W3090030499","https://openalex.org/W3119735598","https://openalex.org/W3120740533","https://openalex.org/W3165241807","https://openalex.org/W3215408481","https://openalex.org/W4230846333","https://openalex.org/W4366504565","https://openalex.org/W4389890876","https://openalex.org/W4392308144","https://openalex.org/W6796017329"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W2033914206"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"has":[2,21,44],"been":[3],"a":[4,80,97,116,165,184],"significant":[5],"part":[6],"of":[7,17,52,96,108,135,162,174,206],"computer":[8],"science":[9],"in":[10,49,99,120,179],"the":[11,59,94,109,132,139,155,170,172,191,197,207],"last":[12],"few":[13],"decades.":[14],"The":[15,152,204],"application":[16],"fuzzy":[18,82,91,125,192,198],"inference":[19,83],"systems":[20],"become":[22],"more":[23,25],"and":[24,54,71,142,186],"prevalent":[26],"as":[27,29,138],"well,":[28,42],"they":[30],"can":[31,78,129,201],"not":[32],"only":[33],"use":[34],"expert":[35],"knowledge":[36],"conveniently,":[37],"but":[38],"also":[39],"handle":[40],"uncertainty":[41],"which":[43],"made":[45],"them":[46],"very":[47],"useful":[48],"various":[50,63],"fields":[51],"healthcare":[53],"medicine.":[55],"In":[56,102],"previous":[57],"works,":[58],"authors":[60],"have":[61],"proposed":[62,208],"new":[64,117,156],"classifiers":[65],"(so-called":[66],"Sequential":[67,72],"Fuzzy":[68,73],"Indexing":[69],"Tables":[70],"Indexed":[74],"Search":[75],"Trees)":[76],"that":[77,88,128,160,194],"realize":[79],"fast":[81],"by":[84,187],"using":[85],"indexing":[86],"tables":[87],"store":[89],"pre-calculated":[90],"values,":[92,190],"with":[93,115],"drawback":[95],"trade-off":[98],"memory":[100,150],"space.":[101],"this":[103],"paper,":[104],"an":[105],"improved":[106],"version":[107],"latter":[110],"classifier":[111,141],"is":[112,159,210],"presented":[113],"along":[114],"training":[118,144,157,167],"algorithm":[119,158],"order":[121],"to":[122],"achieve":[123],"fast,":[124],"inference-based":[126],"classification":[127,136],"provide":[130],"roughly":[131],"same":[133],"level":[134],"performance":[137,205],"basic":[140],"its":[143,149],"algorithm,":[145],"while":[146],"greatly":[147],"reducing":[148],"cost.":[151],"idea":[153],"behind":[154],"instead":[161],"focusing":[163],"on":[164,212],"single":[166],"sample":[168],"at":[169,183],"time,":[171,185],"values":[173],"all":[175],"samples":[176],"are":[177],"regarded":[178],"for":[180],"one":[181],"attribute":[182],"grouping":[188],"their":[189],"sets":[193],"make":[195],"up":[196],"membership":[199],"functions":[200],"be":[202],"built.":[203],"method":[209],"evaluated":[211],"benchmark":[213],"datasets.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
