{"id":"https://openalex.org/W2017812739","doi":"https://doi.org/10.1109/grc.2012.6468708","title":"Feature selection for large-scale data sets in GrC","display_name":"Feature selection for large-scale data sets in GrC","publication_year":2012,"publication_date":"2012-08-01","ids":{"openalex":"https://openalex.org/W2017812739","doi":"https://doi.org/10.1109/grc.2012.6468708","mag":"2017812739"},"language":"en","primary_location":{"id":"doi:10.1109/grc.2012.6468708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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/A5106626932","display_name":"Jiye Liang","orcid":"https://orcid.org/0000-0001-5887-9327"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiye Liang","raw_affiliation_strings":["Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China","Key Laboratory of Computational Intelligence and Chinese Information Processing, of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]},{"raw_affiliation_string":"Key Laboratory of Computational Intelligence and Chinese Information Processing, of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5106626932"],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":0.3369,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59877168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"2","last_page":"7"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9571999907493591,"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/granular-computing","display_name":"Granular computing","score":0.8910552263259888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8021087646484375},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6965265274047852},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.6889474391937256},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6079857349395752},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5999894738197327},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.566746711730957},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5286902785301208},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.5260593295097351},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5229126214981079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49721816182136536},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4507269859313965},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44817930459976196},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43123024702072144}],"concepts":[{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.8910552263259888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021087646484375},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6965265274047852},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.6889474391937256},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6079857349395752},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5999894738197327},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.566746711730957},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5286902785301208},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.5260593295097351},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5229126214981079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49721816182136536},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4507269859313965},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44817930459976196},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43123024702072144},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/grc.2012.6468708","is_oa":false,"landing_page_url":"https://doi.org/10.1109/grc.2012.6468708","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Granular Computing","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":34,"referenced_works":["https://openalex.org/W1527854642","https://openalex.org/W1553701556","https://openalex.org/W1557923305","https://openalex.org/W1589073881","https://openalex.org/W1599903895","https://openalex.org/W1964980811","https://openalex.org/W1976555061","https://openalex.org/W1995875735","https://openalex.org/W1997362234","https://openalex.org/W1999612973","https://openalex.org/W2000158142","https://openalex.org/W2013378801","https://openalex.org/W2017337590","https://openalex.org/W2027654459","https://openalex.org/W2036999870","https://openalex.org/W2045358009","https://openalex.org/W2052608046","https://openalex.org/W2054449235","https://openalex.org/W2077183117","https://openalex.org/W2079680557","https://openalex.org/W2097923398","https://openalex.org/W2101285186","https://openalex.org/W2119479037","https://openalex.org/W2143451122","https://openalex.org/W2153676086","https://openalex.org/W2157728140","https://openalex.org/W2160307100","https://openalex.org/W2164765478","https://openalex.org/W2170544171","https://openalex.org/W2365382545","https://openalex.org/W4285719527","https://openalex.org/W6634981287","https://openalex.org/W6684357118","https://openalex.org/W6990322636"],"related_works":["https://openalex.org/W2385082087","https://openalex.org/W2978631811","https://openalex.org/W2381555525","https://openalex.org/W2484240834","https://openalex.org/W327654139","https://openalex.org/W2389689794","https://openalex.org/W1970726137","https://openalex.org/W2766401420","https://openalex.org/W2367964367","https://openalex.org/W2020100635"],"abstract_inverted_index":{"Granular":[0],"computing,":[1],"as":[2,64],"an":[3],"emerging":[4],"computational":[5,39],"and":[6,11,16,41,48,69,88],"mathematical":[7],"theory":[8],"which":[9],"describes":[10],"processes":[12],"uncertain,":[13],"vague,":[14],"incomplete,":[15],"mass":[17],"information,":[18],"has":[19],"been":[20],"successfully":[21],"used":[22],"in":[23,44,60,92],"knowledge":[24],"discovery.":[25],"At":[26],"present,":[27],"granular":[28,93],"computing":[29],"faces":[30],"the":[31],"challenges":[32],"of":[33,38,73],"consuming":[34],"a":[35,54],"huge":[36],"amount":[37],"time":[40],"memory":[42],"space":[43],"dealing":[45],"with":[46],"largescale":[47],"complicated":[49],"data":[50,58,70,86,90],"sets.":[51],"Feature":[52],"selection,":[53],"common":[55],"technique":[56],"for":[57,84],"preprocessing":[59],"many":[61],"areas":[62],"such":[63],"pattern":[65],"recognition,":[66],"machine":[67],"learning":[68],"mining,":[71],"is":[72],"great":[74],"importance.":[75],"This":[76],"paper":[77],"focuses":[78],"on":[79],"efficient":[80],"feature":[81],"selection":[82],"algorithms":[83],"large-scale":[85],"sets":[87,91],"dynamic":[89],"computing.":[94]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}