{"id":"https://openalex.org/W2003108317","doi":"https://doi.org/10.1109/itap.2011.6006188","title":"Variable Precision Rough Set Based on Similar Projects in Mining Method","display_name":"Variable Precision Rough Set Based on Similar Projects in Mining Method","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2003108317","doi":"https://doi.org/10.1109/itap.2011.6006188","mag":"2003108317"},"language":"en","primary_location":{"id":"doi:10.1109/itap.2011.6006188","doi":"https://doi.org/10.1109/itap.2011.6006188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itap.2011.6006188","pdf_url":null,"source":{"id":"https://openalex.org/S4306419623","display_name":"International Conference on Internet Technology and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Internet Technology and Applications","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5081681377","display_name":"Chen-Guang Jing","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen-Guang Jing","raw_affiliation_strings":["China Railway Siyuan Survey & Design Group Co..Ltd., Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Railway Siyuan Survey & Design Group Co..Ltd., Wuhan, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029776173","display_name":"Xiaochen Duan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Chen Duan","raw_affiliation_strings":["Shijiazhuang Tiedao Univ., Shijiazhuang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shijiazhuang Tiedao Univ., Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0982748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":1.0,"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":1.0,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.0,"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/variable-precision-rough-sets","display_name":"variable precision rough sets","score":0.9470000267028809},{"id":"https://openalex.org/keywords/mining-method-selection","display_name":"mining method selection","score":0.6679999828338623},{"id":"https://openalex.org/keywords/noise-data","display_name":"noise data","score":0.6579999923706055},{"id":"https://openalex.org/keywords/classification-threshold","display_name":"classification threshold","score":0.621999979019165},{"id":"https://openalex.org/keywords/data-uncertainty","display_name":"data uncertainty","score":0.49799999594688416},{"id":"https://openalex.org/keywords/engineering-data","display_name":"engineering data","score":0.36800000071525574}],"concepts":[{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8463233709335327},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.7481164336204529},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6932900547981262},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6157153248786926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6145521402359009},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4437941610813141},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4319721460342407},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.43185678124427795},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33734720945358276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31460076570510864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24807333946228027},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08433881402015686},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itap.2011.6006188","doi":"https://doi.org/10.1109/itap.2011.6006188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itap.2011.6006188","pdf_url":null,"source":{"id":"https://openalex.org/S4306419623","display_name":"International Conference on Internet Technology and Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Internet Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2364998748","https://openalex.org/W2357009973","https://openalex.org/W2786650270","https://openalex.org/W2387625106","https://openalex.org/W2360384522","https://openalex.org/W2383926118","https://openalex.org/W2353599373","https://openalex.org/W1975439836","https://openalex.org/W2353485705","https://openalex.org/W117767320"],"abstract_inverted_index":{"Traditional":[0],"rough":[1,68,109,139],"set":[2,69,76,110,140],"of":[3,8,11,25,28,36,83,100,115,147,153],"noise":[4,42],"data,":[5,94],"the":[6,16,31,44,55,72,92,107,113,116,125,144,151,154],"lack":[7,10],"adaptability,":[9],"flexibility":[12],"or":[13],"robustness,":[14],"for":[15],"engineering":[17,39,46,93],"data":[18,47,102,117,126,145],"can":[19],"not":[20],"distinguish":[21,54],"between":[22,98],"equivalence":[23],"classes":[24],"edge":[26],"region":[27],"overlap":[29],"with":[30],"collection,":[32],"resulting":[33],"in":[34,43,87],"loss":[35],"many":[37],"valuable":[38],"information.":[40],"Strong":[41],"actual":[45],"over-fitting":[48],"due":[49],"to":[50,53,89,121,142],"reduced":[51],"ability":[52],"object,":[56],"its":[57,60],"limitations":[58],"limits":[59],"further":[61],"application.":[62],"In":[63],"this":[64],"paper,":[65],"variable":[66,73,137],"precision":[67,74,138],"model":[70,111],"(VPRS,":[71],"Rough":[75],"Model),":[77],"allows":[78],"a":[79],"certain":[80],"threshold":[81],"level":[82],"classification":[84,103],"rate":[85],"exists,":[86],"order":[88],"better":[90],"solve":[91,143],"no":[95],"functional":[96],"relationship":[97],"attributes":[99],"interference":[101],"problem,":[104],"it":[105],"Overcome":[106],"standard":[108],"on":[112],"shortcomings":[114],"is":[118,156],"too":[119],"sensitive":[120],"noise,":[122],"thereby":[123],"enhancing":[124],"analysis":[127],"and":[128],"processing":[129],"robustness.":[130],"Finally,":[131],"simulation":[132],"results":[133],"show":[134],"that":[135],"using":[136],"theory":[141],"uncertainty":[146],"similar":[148],"projects":[149],"under":[150],"influence":[152],"extraction":[155],"feasible.":[157]},"counts_by_year":[],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}