{"id":"https://openalex.org/W2021244468","doi":"https://doi.org/10.1109/isda.2012.6416634","title":"Recursive meta-clustering in a granular network","display_name":"Recursive meta-clustering in a granular network","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2021244468","doi":"https://doi.org/10.1109/isda.2012.6416634","mag":"2021244468"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2012.6416634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","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/A5028107284","display_name":"Pawan Lingras","orcid":"https://orcid.org/0000-0002-2149-7242"},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]},{"id":"https://openalex.org/I66890659","display_name":"Saint Mary's University","ror":"https://ror.org/010zh7098","country_code":"CA","type":"education","lineage":["https://openalex.org/I66890659"]}],"countries":["CA","IN"],"is_corresponding":true,"raw_author_name":"Pawan Lingras","raw_affiliation_strings":["Indian Institute of Technology, Gandhinagar, India","Saint Mary's University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I27674431"]},{"raw_affiliation_string":"Saint Mary's University, Halifax, Canada","institution_ids":["https://openalex.org/I66890659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048210343","display_name":"Kishore Rathinavel","orcid":null},"institutions":[{"id":"https://openalex.org/I27674431","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23","country_code":"IN","type":"education","lineage":["https://openalex.org/I27674431"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kishore Rathinavel","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Gandhinagar, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Gandhinagar, India","institution_ids":["https://openalex.org/I27674431"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028107284"],"corresponding_institution_ids":["https://openalex.org/I27674431","https://openalex.org/I66890659"],"apc_list":null,"apc_paid":null,"fwci":2.092,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86898442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"770","last_page":"775"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9994999766349792,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9905999898910522,"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":0.9904999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7848020792007446},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.763290286064148},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.7396039366722107},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6797876358032227},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6652149558067322},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.5391710996627808},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27344727516174316},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.17264878749847412}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7848020792007446},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.763290286064148},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.7396039366722107},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6797876358032227},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6652149558067322},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.5391710996627808},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27344727516174316},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.17264878749847412},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2012.6416634","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2012.6416634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[{"id":"https://openalex.org/F4320318581","display_name":"Indian Institute of Technology Gandhinagar","ror":"https://ror.org/0036p5w23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W99904291","https://openalex.org/W620925048","https://openalex.org/W1513494614","https://openalex.org/W1536006514","https://openalex.org/W1541905463","https://openalex.org/W1664520935","https://openalex.org/W1712321737","https://openalex.org/W1725028495","https://openalex.org/W1884786007","https://openalex.org/W1966347128","https://openalex.org/W1977556410","https://openalex.org/W1987149779","https://openalex.org/W2004319612","https://openalex.org/W2029064186","https://openalex.org/W2048404808","https://openalex.org/W2051224630","https://openalex.org/W2075900721","https://openalex.org/W2096060214","https://openalex.org/W2100805904","https://openalex.org/W2109682749","https://openalex.org/W2111485055","https://openalex.org/W2113076747","https://openalex.org/W2115449743","https://openalex.org/W2127097372","https://openalex.org/W2127218421","https://openalex.org/W2131717044","https://openalex.org/W2146591355","https://openalex.org/W2153233077","https://openalex.org/W2153676086","https://openalex.org/W2155513925","https://openalex.org/W2166692930","https://openalex.org/W2475933805","https://openalex.org/W2490737927","https://openalex.org/W4214721330","https://openalex.org/W4240294902","https://openalex.org/W4253407057","https://openalex.org/W6619527926","https://openalex.org/W6631964878","https://openalex.org/W6637587671","https://openalex.org/W6637878623","https://openalex.org/W6639403560","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W4288776216","https://openalex.org/W57347928","https://openalex.org/W2788907035","https://openalex.org/W4249931853","https://openalex.org/W2557918338","https://openalex.org/W2186255480","https://openalex.org/W2320721675","https://openalex.org/W2472808741","https://openalex.org/W1997086435","https://openalex.org/W2604904921"],"abstract_inverted_index":{"Granular":[0,101],"computing":[1,102,148],"represents":[2],"an":[3,6],"object":[4],"as":[5,24,55],"information":[7,11,43,113],"granule.":[8],"Traditionally":[9],"the":[10,15,37,90,144],"is":[12,94],"derived":[13],"from":[14,46,67,89,114],"primary":[16,47,116,157],"source":[17],"of":[18,36,64,78,120,146],"data":[19,39,48,51,65,69,79,92,131,152],"by":[20],"recording":[21],"events":[22],"such":[23,54],"transactions,":[25],"phone":[26],"calls,":[27],"user":[28],"sessions,":[29],"security":[30],"breaches,":[31],"and":[32,58,117,158],"car":[33],"trips.":[34],"Much":[35],"early":[38],"mining":[40,52,70,80,93,132,153],"techniques":[41,53,74,81,154],"used":[42,96],"granules":[44],"generated":[45],"sources.":[49,161],"Recent":[50],"ensemble":[56],"classifiers":[57],"stacked":[59],"regression":[60],"use":[61,75],"secondary":[62,118,159],"sources":[63,119],"obtained":[66],"initial":[68,83],"activities.":[71],"Typically,":[72],"these":[73],"preliminary":[76,91],"applications":[77],"for":[82,97,111,149],"knowledge":[84,87,160],"discovery.":[85],"The":[86],"acquired":[88],"then":[95],"more":[98],"refined":[99],"analysis.":[100],"can":[103,126],"enable":[104],"us":[105,128],"to":[106,142,155],"develop":[107,129],"a":[108,137],"formal":[109],"framework":[110],"incorporating":[112],"both":[115],"data.":[121],"This":[122,134],"enhanced":[123],"granular":[124,147],"representation":[125],"help":[127],"integrated":[130,151],"techniques.":[133],"paper":[135],"proposes":[136],"novel":[138],"recursive":[139],"meta-clustering":[140],"algorithm":[141],"demonstrate":[143],"versatility":[145],"developing":[150],"exploit":[156]},"counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}