{"id":"https://openalex.org/W2555079822","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737791","title":"Iterative information granulation for novelty detection in complex datasets","display_name":"Iterative information granulation for novelty detection in complex datasets","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2555079822","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737791","mag":"2555079822"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5058952776","display_name":"Adrian Rubio-Solis","orcid":"https://orcid.org/0000-0002-9278-5620"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Adrian Rubio-Solis","raw_affiliation_strings":["Automatic Control and Systems Engineering Department, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Automatic Control and Systems Engineering Department, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081468727","display_name":"George Panoutsos","orcid":"https://orcid.org/0000-0002-7395-8418"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"George Panoutsos","raw_affiliation_strings":["Automatic Control and Systems Engineering Department, The University of Sheffield, UK"],"affiliations":[{"raw_affiliation_string":"Automatic Control and Systems Engineering Department, The University of Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5058952776"],"corresponding_institution_ids":["https://openalex.org/I91136226"],"apc_list":null,"apc_paid":null,"fwci":1.7669,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89725371,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"23","issue":null,"first_page":"953","last_page":"960"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980000257492065,"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":0.9980000257492065,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9969000220298767,"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/T10320","display_name":"Neural Networks and Applications","score":0.9962999820709229,"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/granulation","display_name":"Granulation","score":0.8007214069366455},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.7821043729782104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6979236602783203},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6615657210350037},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5269582867622375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5032612681388855},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49796128273010254},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4856492280960083},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.4604618549346924},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4478800296783447},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.44764021039009094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4292784333229065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23869192600250244},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.15568310022354126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10147476196289062}],"concepts":[{"id":"https://openalex.org/C88463166","wikidata":"https://www.wikidata.org/wiki/Q1543243","display_name":"Granulation","level":2,"score":0.8007214069366455},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.7821043729782104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6979236602783203},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6615657210350037},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5269582867622375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5032612681388855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49796128273010254},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4856492280960083},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.4604618549346924},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4478800296783447},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.44764021039009094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4292784333229065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23869192600250244},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.15568310022354126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10147476196289062},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737791","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737791","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:116415","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Proceedings Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1971707777","https://openalex.org/W1972417847","https://openalex.org/W1979199342","https://openalex.org/W2007187232","https://openalex.org/W2051085510","https://openalex.org/W2088422930","https://openalex.org/W2100854957","https://openalex.org/W2102614139","https://openalex.org/W2107273729","https://openalex.org/W2114137107","https://openalex.org/W2114383673","https://openalex.org/W2136704614","https://openalex.org/W2145747704","https://openalex.org/W2165094119","https://openalex.org/W2555627508"],"related_works":["https://openalex.org/W1795409297","https://openalex.org/W2064636555","https://openalex.org/W2013421631","https://openalex.org/W2585503716","https://openalex.org/W2282249876","https://openalex.org/W1939982668","https://openalex.org/W2907231604","https://openalex.org/W2105014086","https://openalex.org/W2765911721","https://openalex.org/W3091858790"],"abstract_inverted_index":{"Recognition":[0],"memory":[1],"in":[2,20,82,119,150,155,180],"a":[3,126,151],"number":[4,128],"of":[5,24,79,94,129],"mammals":[6],"is":[7,27,74,117,172],"usually":[8],"utilised":[9],"to":[10,30,33,48,57,157,175],"identify":[11],"novel":[12,25],"objects":[13,26,35,50],"that":[14,36],"violate":[15],"model":[16],"predictions.":[17],"In":[18,66,122],"humans":[19],"particular,":[21],"the":[22,45,55,77,98,102,107,123,138,142],"recognition":[23,182],"foremost":[28],"associated":[29,59],"their":[31],"ability":[32,56],"group":[34],"are":[37,89,132],"highly":[38],"compatible/similar.":[39],"Granular":[40,95],"computing":[41],"not":[42],"only":[43],"mimics":[44,54],"human":[46],"cognition":[47],"draw":[49],"together":[51],"but":[52],"also":[53],"capture":[58,137],"properties":[60],"by":[61],"similarity,":[62],"proximity":[63],"or":[64],"functionality.":[65],"this":[67,120,148],"paper,":[68],"an":[69],"iterative":[70,114,165],"information":[71,115,149,166],"granulation":[72,116,153,167],"approach":[73,168],"presented,":[75],"for":[76,169],"problem":[78],"novelty":[80,170],"detection":[81,171],"complex":[83],"data.":[84],"Two":[85],"granular":[86,108,130,135],"compatibility":[87],"measures":[88],"used,":[90],"based":[91],"on":[92],"principles":[93],"Computing,":[96],"namely":[97],"multidimensional":[99],"distance":[100],"between":[101,141],"granules,":[103],"as":[104,106,161],"well":[105],"density":[109],"and":[110,145],"volume.":[111],"A":[112],"two-stage":[113],"proposed":[118,164],"work.":[121],"first":[124],"stage,":[125],"predefined":[127],"detectors":[131,136],"constructed.":[133],"The":[134,163],"relationships":[139],"(rules)":[140],"input-output":[143],"data":[144],"then":[146,173],"use":[147],"second":[152],"stage":[154],"order":[156],"discriminate":[158],"new":[159],"samples":[160],"novel.":[162],"applied":[174],"three":[176],"different":[177],"benchmark":[178],"problems":[179],"pattern":[181],"demonstrating":[183],"very":[184],"good":[185],"performance.":[186]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}