{"id":"https://openalex.org/W1986515143","doi":"https://doi.org/10.1109/is.2012.6335139","title":"OWA aggregation based CxK-nearest neighbor classification algorithm","display_name":"OWA aggregation based CxK-nearest neighbor classification algorithm","publication_year":2012,"publication_date":"2012-09-01","ids":{"openalex":"https://openalex.org/W1986515143","doi":"https://doi.org/10.1109/is.2012.6335139","mag":"1986515143"},"language":"en","primary_location":{"id":"doi:10.1109/is.2012.6335139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2012.6335139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS","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/A5044671052","display_name":"G\u00f6zde Ulutagay","orcid":"https://orcid.org/0000-0002-7415-4251"},"institutions":[{"id":"https://openalex.org/I132257509","display_name":"Izmir University","ror":"https://ror.org/013h3xr51","country_code":"TR","type":"education","lineage":["https://openalex.org/I132257509"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Gozde Ulutagay","raw_affiliation_strings":["Department of Industrial Engineering, Izmir University, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Izmir University, Izmir, Turkey","institution_ids":["https://openalex.org/I132257509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048847736","display_name":"Efendi Nas\u0131bov","orcid":"https://orcid.org/0000-0002-1889-6410"},"institutions":[{"id":"https://openalex.org/I193615760","display_name":"Dokuz Eyl\u00fcl University","ror":"https://ror.org/00dbd8b73","country_code":"TR","type":"education","lineage":["https://openalex.org/I193615760"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Efendi Nasibov","raw_affiliation_strings":["Department of Computer Sciences, Dokuz Eylul University, Izmir, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Dokuz Eylul University, Izmir, Turkey","institution_ids":["https://openalex.org/I193615760"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"224"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9447000026702881,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9186000227928162,"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/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.8425403833389282},{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.6861104965209961},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5729164481163025},{"id":"https://openalex.org/keywords/large-margin-nearest-neighbor","display_name":"Large margin nearest neighbor","score":0.5247681140899658},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49854135513305664},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.48585793375968933},{"id":"https://openalex.org/keywords/best-bin-first","display_name":"Best bin first","score":0.4846213757991791},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4605163335800171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4480222463607788},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44439569115638733},{"id":"https://openalex.org/keywords/nearest-neighbour","display_name":"Nearest neighbour","score":0.42963850498199463},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33876681327819824},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.12329268455505371}],"concepts":[{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.8425403833389282},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.6861104965209961},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5729164481163025},{"id":"https://openalex.org/C94475309","wikidata":"https://www.wikidata.org/wiki/Q6489154","display_name":"Large margin nearest neighbor","level":3,"score":0.5247681140899658},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49854135513305664},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.48585793375968933},{"id":"https://openalex.org/C161986146","wikidata":"https://www.wikidata.org/wiki/Q4896845","display_name":"Best bin first","level":3,"score":0.4846213757991791},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4605163335800171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4480222463607788},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44439569115638733},{"id":"https://openalex.org/C2983946233","wikidata":"https://www.wikidata.org/wiki/Q4088109","display_name":"Nearest neighbour","level":2,"score":0.42963850498199463},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33876681327819824},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.12329268455505371},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/is.2012.6335139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/is.2012.6335139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS","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":15,"referenced_works":["https://openalex.org/W2012699695","https://openalex.org/W2016286809","https://openalex.org/W2044761776","https://openalex.org/W2046859099","https://openalex.org/W2050360441","https://openalex.org/W2056824535","https://openalex.org/W2060907774","https://openalex.org/W2084134149","https://openalex.org/W2087991154","https://openalex.org/W2122111042","https://openalex.org/W2140931828","https://openalex.org/W2148603752","https://openalex.org/W2481520737","https://openalex.org/W3017143921","https://openalex.org/W4254721730"],"related_works":["https://openalex.org/W2519241726","https://openalex.org/W2375128115","https://openalex.org/W2351157934","https://openalex.org/W2182477562","https://openalex.org/W2125687350","https://openalex.org/W2107754327","https://openalex.org/W2169618946","https://openalex.org/W325985789","https://openalex.org/W2062957446","https://openalex.org/W2153619652"],"abstract_inverted_index":{"A":[0],"new":[1],"OWA":[2,61,77],"(Ordered":[3],"Weighted":[4],"Averaging)":[5],"distance":[6],"based":[7,58],"CxK-nearest":[8],"neighbor":[9,33],"algorithm":[10,35,80],"(CxK-NN)":[11],"is":[12,56],"proposed.":[13],"In":[14],"this":[15],"approach,":[16],"K-nearest":[17,32,54],"neighbors":[18,44],"from":[19],"each":[20],"of":[21,29,43,75,85],"the":[22,30,39,49,60,76],"classes":[23],"are":[24,45,81],"taken":[25],"into":[26],"account":[27],"instead":[28],"well-known":[31,66],"(K-NN)":[34],"in":[36],"which":[37],"only":[38],"total":[40],"number,":[41],"K":[42],"considered.":[46],"Distance":[47],"between":[48],"classified":[50],"point":[51],"and":[52,87],"its":[53],"set":[55],"determined":[57],"on":[59],"operator.":[62],"After":[63],"experiments":[64],"with":[65],"classification":[67],"datasets,":[68],"we":[69],"conclude":[70],"that":[71,84],"average":[72],"accuracy":[73],"results":[74],"distance-based":[78],"CxK-NN":[79],"better":[82],"than":[83],"K-NN":[86,89],"weighted":[88],"algorithms.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
