{"id":"https://openalex.org/W3124081135","doi":"https://doi.org/10.1145/3428757.3429135","title":"KNNAC","display_name":"KNNAC","publication_year":2020,"publication_date":"2020-11-30","ids":{"openalex":"https://openalex.org/W3124081135","doi":"https://doi.org/10.1145/3428757.3429135","mag":"3124081135"},"language":"en","primary_location":{"id":"doi:10.1145/3428757.3429135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428757.3429135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","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/A5100446990","display_name":"Yao Zhang","orcid":"https://orcid.org/0000-0002-7375-9152"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yao Zhang","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069653714","display_name":"Yifeng Lu","orcid":"https://orcid.org/0000-0003-1973-818X"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Yifeng Lu","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003335849","display_name":"Thomas Seidl","orcid":"https://orcid.org/0000-0002-4861-1412"},"institutions":[{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Seidl","raw_affiliation_strings":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen, Munich, Germany","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8204097"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18743755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"62","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994000196456909,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9994000196456909,"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/T10057","display_name":"Face and Expression Recognition","score":0.9884999990463257,"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/T11106","display_name":"Data Management and Algorithms","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/dbscan","display_name":"DBSCAN","score":0.8922941088676453},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7703183889389038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7167375683784485},{"id":"https://openalex.org/keywords/nearest-neighbor-chain-algorithm","display_name":"Nearest-neighbor chain algorithm","score":0.6866350173950195},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6419939994812012},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5192725658416748},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37776774168014526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3772536516189575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33954721689224243},{"id":"https://openalex.org/keywords/cure-data-clustering-algorithm","display_name":"CURE data clustering algorithm","score":0.2620530426502228},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.2551819384098053},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.2269977629184723}],"concepts":[{"id":"https://openalex.org/C46576248","wikidata":"https://www.wikidata.org/wiki/Q1114630","display_name":"DBSCAN","level":5,"score":0.8922941088676453},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7703183889389038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7167375683784485},{"id":"https://openalex.org/C102164700","wikidata":"https://www.wikidata.org/wiki/Q17162702","display_name":"Nearest-neighbor chain algorithm","level":5,"score":0.6866350173950195},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6419939994812012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5192725658416748},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37776774168014526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3772536516189575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33954721689224243},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.2620530426502228},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.2551819384098053},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.2269977629184723}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428757.3429135","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428757.3429135","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 22nd International Conference on Information Integration and Web-based Applications & Services","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":20,"referenced_works":["https://openalex.org/W839407891","https://openalex.org/W1496508106","https://openalex.org/W1673310716","https://openalex.org/W1979896142","https://openalex.org/W1987971958","https://openalex.org/W2022686119","https://openalex.org/W2064314060","https://openalex.org/W2099242680","https://openalex.org/W2118862812","https://openalex.org/W2132377940","https://openalex.org/W2132914434","https://openalex.org/W2150593711","https://openalex.org/W2160642098","https://openalex.org/W2601243251","https://openalex.org/W2779640815","https://openalex.org/W3025017036","https://openalex.org/W3033746169","https://openalex.org/W3120740533","https://openalex.org/W4247105055","https://openalex.org/W6893730779"],"related_works":["https://openalex.org/W3176449234","https://openalex.org/W2353158678","https://openalex.org/W2767235736","https://openalex.org/W4225278791","https://openalex.org/W2045002201","https://openalex.org/W2971352445","https://openalex.org/W4322502698","https://openalex.org/W2519241726","https://openalex.org/W2375128115","https://openalex.org/W2362413895"],"abstract_inverted_index":{"Density-based":[0],"clustering":[1,44,95,128],"algorithms":[2,45],"are":[3,46,83],"commonly":[4],"adopted":[5],"when":[6],"arbitrarily":[7],"shaped":[8],"clusters":[9,21],"exist.":[10],"Usually,":[11],"they":[12],"do":[13],"not":[14],"need":[15],"to":[16,38,48,53,76,111,123],"know":[17],"the":[18,50,54,63,102,112,144],"number":[19],"of":[20,56,65,108,114,143],"in":[22],"prior,":[23],"which":[24,98],"is":[25],"a":[26,57,93,105,141],"big":[27],"advantage.":[28],"Conventional":[29],"density-based":[30,43],"approaches":[31,82,129],"such":[32],"as":[33],"DBSCAN,":[34],"utilize":[35],"two":[36],"parameters":[37],"define":[39,77],"density.":[40,78],"Recently,":[41],"novel":[42],"proposed":[47],"reduce":[49],"problem":[51],"complexity":[52],"use":[55,113],"single":[58],"parameter":[59],"k":[60,66,72],"by":[61],"utilizing":[62],"concepts":[64],"Nearest":[67,73],"Neighbor":[68,74],"(kNN)":[69],"and":[70],"Reverse":[71],"(RkNN)":[75],"However,":[79],"those":[80],"kNN-based":[81],"either":[84],"ineffective":[85],"or":[86],"inefficient.":[87],"In":[88],"this":[89],"paper,":[90],"we":[91],"present":[92],"new":[94],"algorithm":[96],"KNNAC,":[97],"only":[99],"requires":[100],"computing":[101],"densities":[103],"for":[104],"chosen":[106],"subset":[107],"points":[109],"due":[110],"active":[115],"core":[116],"detection.":[117],"We":[118],"empirically":[119],"show":[120],"that,":[121],"compared":[122],"other":[124],"nearest":[125],"neighbor":[126],"based":[127],"(e.g.,":[130],"RECORD,":[131],"IS-DBSCAN,":[132],"etc.),":[133],"KNNAC":[134],"can":[135],"provide":[136],"competitive":[137],"performance":[138],"while":[139],"taking":[140],"fraction":[142],"runtime.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2021-02-01T00:00:00"}