{"id":"https://openalex.org/W3203553643","doi":"https://doi.org/10.1145/3467707.3467745","title":"Attribute Reduction Method and Its Application using Bat Algorithm and Rough Sets","display_name":"Attribute Reduction Method and Its Application using Bat Algorithm and Rough Sets","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3203553643","doi":"https://doi.org/10.1145/3467707.3467745","mag":"3203553643"},"language":"en","primary_location":{"id":"doi:10.1145/3467707.3467745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","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/A5068090431","display_name":"Shangzhi Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shangzhi Wu","raw_affiliation_strings":["Northwest Normal University, China"],"affiliations":[{"raw_affiliation_string":"Northwest Normal University, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100379136","display_name":"Huanhuan Wang","orcid":"https://orcid.org/0000-0003-4689-5578"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanhuan Wang","raw_affiliation_strings":["Northwest Normal University, China"],"affiliations":[{"raw_affiliation_string":"Northwest Normal University, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010413345","display_name":"Xia Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Xia","raw_affiliation_strings":["Northwest Normal University, China"],"affiliations":[{"raw_affiliation_string":"Northwest Normal University, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403598","display_name":"Fan Zhang","orcid":"https://orcid.org/0009-0008-3105-063X"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["Northwest Normal University, China"],"affiliations":[{"raw_affiliation_string":"Northwest Normal University, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068090431"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14070985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"252","last_page":"256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9746000170707703,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9746000170707703,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.965499997138977,"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":0.9208999872207642,"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/reduction","display_name":"Reduction (mathematics)","score":0.8070569038391113},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.7505143880844116},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558622717857361},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.589425802230835},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5478585958480835},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5393677949905396},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.5051589608192444},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4525458514690399},{"id":"https://openalex.org/keywords/carry","display_name":"Carry (investment)","score":0.4207109212875366},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35457277297973633},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34436357021331787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19050747156143188},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.07666805386543274}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.8070569038391113},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.7505143880844116},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558622717857361},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.589425802230835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5478585958480835},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5393677949905396},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.5051589608192444},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4525458514690399},{"id":"https://openalex.org/C2776299755","wikidata":"https://www.wikidata.org/wiki/Q432449","display_name":"Carry (investment)","level":2,"score":0.4207109212875366},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35457277297973633},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34436357021331787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19050747156143188},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.07666805386543274},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3467707.3467745","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2069928051"],"related_works":["https://openalex.org/W2387804527","https://openalex.org/W2103840922","https://openalex.org/W2355968574","https://openalex.org/W2107349454","https://openalex.org/W2166201494","https://openalex.org/W2386642237","https://openalex.org/W2376925652","https://openalex.org/W2389210842","https://openalex.org/W2946250706","https://openalex.org/W2352960645"],"abstract_inverted_index":{"Attributes":[0],"reduction":[1,21,32,74],"is":[2,114],"one":[3],"of":[4,18,68,84,97,125,139],"the":[5,15,51,57,62,66,72,77,82,93,106,120,123,137,144],"important":[6],"key":[7],"in":[8,25,147],"knowledge":[9],"discovery.":[10],"In":[11,81],"order":[12],"to":[13,60,75,91,135],"find":[14],"effective":[16],"methods":[17],"minimum":[19],"attribute":[20,31,58,63,73,79],"and":[22,28,38,100,116,131,142],"its":[23],"application":[24],"data":[26],"processing":[27],"analysis,":[29],"an":[30],"method":[33,55,113],"by":[34,44],"using":[35],"bat":[36,47,69],"algorithm":[37,49,70],"rough":[39,52],"sets":[40],"can":[41],"be":[42,89,129],"proposed":[43],"combining":[45,65],"intelligent":[46],"optimization":[48,67],"with":[50],"sets.":[53],"This":[54],"uses":[56],"dependency":[59],"calculate":[61],"core,":[64],"towards":[71],"get":[76],"smallest":[78],"reduction.":[80],"analyzation":[83],"criminal":[85,98,121,126,140],"information,":[86],"it":[87],"will":[88,128],"applied":[90],"analyze":[92],"main":[94],"influence":[95],"factors":[96],"behavior":[99],"carry":[101],"out":[102],"experimental":[103],"verification.":[104],"From":[105],"experimantal":[107],"results,":[108],"we":[109],"found":[110],"that":[111],"this":[112,132],"feasible":[115],"effective.":[117],"By":[118],"analysing":[119],"behavior,":[122],"pattern":[124],"characteristic":[127],"discovered":[130],"helps":[133],"us":[134],"achieve":[136],"goal":[138],"prevention":[141],"improve":[143],"police":[145],"efficiency":[146],"handling":[148],"cases.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
