{"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":{"id":"doi:10.1145/2393216.2393309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","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/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":true,"raw_author_name":"Asit Kumar Das","raw_affiliation_strings":["Bengal Engineering and Science University, Howrah, West Bengal, India","Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University, Howrah, West Bengal, India","institution_ids":["https://openalex.org/I98365261"]},{"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":[],"is_corresponding":false,"raw_author_name":"Soumen Kumar Pati","raw_affiliation_strings":["St. Thomas' College of Engineering and Technology, Kolkata, West Bengal, India","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","institution_ids":[]},{"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","Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#"],"affiliations":[{"raw_affiliation_string":"Bengal Engineering and Science University, Howrah, West Bengal, India","institution_ids":["https://openalex.org/I98365261"]},{"raw_affiliation_string":"Bengal Engineering and Science University, Howrah, West Bengal, India#TAB#","institution_ids":["https://openalex.org/I98365261"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076985884"],"corresponding_institution_ids":["https://openalex.org/I98365261"],"apc_list":null,"apc_paid":null,"fwci":0.337,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6232659,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"555","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9779999852180481,"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":0.9200000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reduct","display_name":"Reduct","score":0.8786406517028809},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6979895830154419},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6160984039306641},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5447952151298523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49061623215675354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4903724193572998},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4888853132724762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4792352020740509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4690314531326294},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4520263373851776},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4268415868282318},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.11369851231575012}],"concepts":[{"id":"https://openalex.org/C69177213","wikidata":"https://www.wikidata.org/wiki/Q12880812","display_name":"Reduct","level":3,"score":0.8786406517028809},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6979895830154419},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6160984039306641},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5447952151298523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49061623215675354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4903724193572998},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4888853132724762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4792352020740509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4690314531326294},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4520263373851776},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4268415868282318},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.11369851231575012},{"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":[{"id":"doi:10.1145/2393216.2393309","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2393216.2393309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"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","https://openalex.org/W6632110207","https://openalex.org/W6633188799"],"related_works":["https://openalex.org/W2369301332","https://openalex.org/W2101726329","https://openalex.org/W2376860763","https://openalex.org/W2163171169","https://openalex.org/W1975980892","https://openalex.org/W2077183117","https://openalex.org/W1973689533","https://openalex.org/W1880013533","https://openalex.org/W2393055956","https://openalex.org/W831516024"],"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]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}