{"id":"https://openalex.org/W3211450116","doi":"https://doi.org/10.1145/3456172.3456201","title":"Improved KNN Algorithm based on Probability and Adaptive K Value","display_name":"Improved KNN Algorithm based on Probability and Adaptive K Value","publication_year":2021,"publication_date":"2021-01-15","ids":{"openalex":"https://openalex.org/W3211450116","doi":"https://doi.org/10.1145/3456172.3456201","mag":"3211450116"},"language":"en","primary_location":{"id":"doi:10.1145/3456172.3456201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456172.3456201","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 Data Engineering","raw_type":"proceedings-article"},"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/A5064553020","display_name":"Yulong Ling","orcid":"https://orcid.org/0000-0003-2660-9191"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"YuLong Ling","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320958","display_name":"Xiao Zhang","orcid":"https://orcid.org/0009-0001-4568-7155"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100419764","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0002-0437-2886"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":["Northwestern Polytechnical University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9577999711036682,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6795401573181152},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.544979453086853},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4435841739177704},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18050509691238403}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6795401573181152},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.544979453086853},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4435841739177704},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18050509691238403}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3456172.3456201","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3456172.3456201","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 Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2763350515","https://openalex.org/W2791000382"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829"],"abstract_inverted_index":{"As":[0],"one":[1],"of":[2,41,57,60,98,105],"the":[3,9,27,39,55,58,90,96,102,106,110,114,117,135,139,143,150,155],"most":[4],"classical":[5],"supervised":[6],"learning":[7],"algorithms,":[8],"KNN":[10,28,91,136,141],"algorithm":[11,29,137,145],"is":[12,46,119],"not":[13,51],"only":[14],"easy":[15],"to":[16,37,43,88,100,113,157,160],"understand":[17],"but":[18],"also":[19],"can":[20],"solve":[21,71],"classification":[22,151],"problems":[23],"very":[24],"well.":[25],"Nevertheless,":[26],"has":[30],"a":[31,77,161],"serious":[32],"drawback:The":[33],"voting":[34],"principle":[35],"used":[36],"predict":[38],"category":[40,65],"samples":[42,61],"be":[44],"classified":[45],"too":[47],"simple":[48],"and":[49,84,138],"does":[50],"take":[52],"into":[53],"account":[54],"proximity":[56],"number":[59],"contained":[62],"in":[63,66,109,146],"each":[64],"k":[67,86,99,111,159],"near-neighbor":[68],"samples.":[69],"To":[70],"this":[72,74,147],"problem,":[73],"paper":[75,148],"proposes":[76],"novel":[78],"decision":[79,118],"strategy":[80],"based":[81],"on":[82,125],"probability":[83,103],"iterative":[85],"value":[87,97,104],"improve":[89],"algorithm.":[92],"By":[93],"constantly":[94],"adjusting":[95],"bring":[101],"largest":[107],"class":[108],"neighborhood":[112],"specified":[115],"threshold,":[116],"sufficiently":[120],"persuasive.":[121],"The":[122],"experimental":[123],"results":[124],"several":[126],"UCI":[127],"public":[128],"data":[129],"sets":[130],"show":[131],"that":[132],"compared":[133],"with":[134],"distance-weighted":[140],"algorithm,":[142],"improved":[144],"improves":[149],"accuracy":[152],"while":[153],"reducing":[154],"sensitivity":[156],"hyperparameter":[158],"certain":[162],"extent.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
