{"id":"https://openalex.org/W2079462041","doi":"https://doi.org/10.1145/2393216.2393309","title":"Reduct generation of microarray dataset using rough set and graph theory for unsupervised learning","display_name":"Reduct generation of microarray dataset using rough set and graph theory for unsupervised learning","publication_year":2012,"publication_date":"2012-10-26","ids":{"openalex":"https://openalex.org/W2079462041","doi":"https://doi.org/10.1145/2393216.2393309","mag":"2079462041"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5076985884","display_name":"Asit Kumar Das","orcid":"https://orcid.org/0000-0002-9886-1735"},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Asit Kumar Das","raw_affiliation_strings":["Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#","institution_ids":["https://openalex.org/I98365261"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044446632","display_name":"Soumen Kumar Pati","orcid":"https://orcid.org/0000-0001-8796-7019"},"institutions":[],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Soumen Kumar Pati","raw_affiliation_strings":["St. Thomas' College of Engineering and Technology, Kolkata, West Bengal, India#TAB#"],"affiliations":[{"raw_affiliation_string":"St. Thomas' College of Engineering and Technology, Kolkata, West Bengal, India#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022762965","display_name":"Saikat Chakrabarty","orcid":null},"institutions":[{"id":"https://openalex.org/I98365261","display_name":"Indian Institute of Engineering Science and Technology, Shibpur","ror":"https://ror.org/02ytfzr55","country_code":"IN","type":"education","lineage":["https://openalex.org/I98365261"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saikat Chakrabarty","raw_affiliation_strings":["Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#","institution_ids":["https://openalex.org/I98365261"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.278,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.540794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":75,"max":78},"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"561"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9999,"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":0.9999,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.978,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.92,"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/reduct","display_name":"Reduct","score":0.87864065},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4268416}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.87864065},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6979896},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6160984},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5447952},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49061623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49037242},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4888853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4792352},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46903145},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.45202634},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4268416},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11369851},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W120161273","https://openalex.org/W1513366687","https://openalex.org/W1525141767","https://openalex.org/W1540031006","https://openalex.org/W1564947197","https://openalex.org/W1965680834","https://openalex.org/W1977674593","https://openalex.org/W2011039300","https://openalex.org/W2017927472","https://openalex.org/W2034998024","https://openalex.org/W2128823163","https://openalex.org/W2162364423","https://openalex.org/W2506703326","https://openalex.org/W4212774754","https://openalex.org/W4246185962"],"related_works":["https://openalex.org/W831516024","https://openalex.org/W2393055956","https://openalex.org/W2376860763","https://openalex.org/W2369301332","https://openalex.org/W2163171169","https://openalex.org/W2101726329","https://openalex.org/W2077183117","https://openalex.org/W1975980892","https://openalex.org/W1973689533","https://openalex.org/W1880013533"],"abstract_inverted_index":{"Microarray":[0],"gene":[1,221,224],"dataset":[2,28],"often":[3],"contains":[4],"high":[5],"dimensionalities":[6],"which":[7,140],"cause":[8],"difficulty":[9],"in":[10,80,182],"clustering":[11,63],"and":[12,24,64,98,149,186,209],"classification.":[13,65],"Datasets":[14],"containing":[15],"huge":[16],"number":[17],"of":[18,27,36,48,78,117,124,155,167,232],"attributes":[19,79,118,148],"lead":[20],"to":[21],"increased":[22],"complexity":[23],"therefore,":[25],"degradation":[26],"handling":[29],"performance.":[30],"Often,":[31],"all":[32,162,187],"the":[33,45,71,75,81,130,153,156,168,176,183,197,230,233],"measured":[34],"features":[35],"these":[37],"high-dimensional":[38],"datasets":[39,222],"are":[40,170,191],"not":[41],"relevant":[42],"for":[43,104,223],"understanding":[44],"underlying":[46],"phenomena":[47],"interest.":[49],"Dimensionality":[50],"reduction":[51,90,213],"by":[52],"reduct":[53,184],"generation":[54],"is":[55,102,137,159,180,200],"hence":[56],"performed":[57],"as":[58,74,147,152],"an":[59,133],"important":[60,178],"step":[61],"before":[62],"The":[66,107,193,206,226],"reduced":[67],"attribute":[68,89,134,212],"set":[69,77,100,126,136,185,199],"has":[70],"same":[72],"characteristics":[73],"entire":[76],"information":[82],"system.":[83],"In":[84],"this":[85],"paper,":[86],"a":[87,111,122,141],"new":[88],"technique,":[91],"based":[92],"on":[93,129,218],"directed":[94,142],"minimal":[95,164],"spanning":[96,165],"tree":[97],"rough":[99,125],"theory":[101],"done,":[103],"unsupervised":[105],"learning.":[106],"method,":[108],"firstly,":[109],"computes":[110],"similarity":[112,131,135,157],"factor":[113,158],"between":[114],"each":[115,173],"pair":[116],"using":[119],"indiscernibility":[120],"relation,":[121],"concept":[123],"theory.":[127],"Based":[128],"factors,":[132],"formed":[138],"from":[139],"weighted":[143],"graph":[144,169],"with":[145],"vertices":[146],"edge":[150,198],"weights":[151],"inverse":[154],"constructed.":[160],"Then,":[161],"possible":[163],"trees":[166],"generated.":[171],"From":[172],"tree,":[174],"iteratively,":[175],"most":[177],"vertex":[179],"included":[181],"its":[188],"out-going":[189],"edges":[190],"removed.":[192],"process":[194],"stops":[195],"when":[196],"empty,":[201],"thus":[202],"producing":[203],"multiple":[204],"reducts.":[205],"proposed":[207],"method":[208],"some":[210],"well-known":[211],"techniques":[214],"have":[215],"been":[216],"applied":[217],"several":[219],"microarray":[220],"selection.":[225],"results":[227],"obtained":[228],"show":[229],"effectiveness":[231],"method.":[234]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2079462041","counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2024-12-11T20:08:25.810397","created_date":"2016-06-24"}