{"id":"https://openalex.org/W2063809815","doi":"https://doi.org/10.1109/fskd.2010.5569212","title":"TOP-K cosine similarity interesting pairs search","display_name":"TOP-K cosine similarity interesting pairs search","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2063809815","doi":"https://doi.org/10.1109/fskd.2010.5569212","mag":"2063809815"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569212","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5100877652","display_name":"Shiwei Zhu","orcid":"https://orcid.org/0009-0004-0966-6439"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiwei Zhu","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China","School of Economics and Management, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035293475","display_name":"Junjie Wu","orcid":"https://orcid.org/0000-0001-7650-3657"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Wu","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China","School of Economics and Management, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110670954","display_name":"Guoping Xia","orcid":"https://orcid.org/0000-0002-5793-9102"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoping Xia","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China","School of Economics and Management, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100877652"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.5612,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.82373473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1479","last_page":"1483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9980000257492065,"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":0.9980000257492065,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9954000115394592,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9939000010490417,"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/cosine-similarity","display_name":"Cosine similarity","score":0.9154340028762817},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.7086619138717651},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6495399475097656},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.6434949040412903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625250339508057},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.5427385568618774},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.5394547581672668},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49825263023376465},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.4950224757194519},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4861280918121338},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.458059161901474},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4486249089241028},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.44121211767196655},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.43550291657447815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.38334956765174866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28521737456321716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2771952748298645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.23057663440704346}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.9154340028762817},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.7086619138717651},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6495399475097656},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.6434949040412903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625250339508057},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.5427385568618774},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.5394547581672668},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49825263023376465},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.4950224757194519},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4861280918121338},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.458059161901474},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4486249089241028},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.44121211767196655},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.43550291657447815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.38334956765174866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28521737456321716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2771952748298645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.23057663440704346},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569212","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569212","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1553545751","https://openalex.org/W1565377632","https://openalex.org/W1997833222","https://openalex.org/W2033977659","https://openalex.org/W2099404336","https://openalex.org/W2100417212","https://openalex.org/W2102489964","https://openalex.org/W2110893883","https://openalex.org/W2131020804","https://openalex.org/W2147466052","https://openalex.org/W2156031219","https://openalex.org/W2166559705","https://openalex.org/W2210278139","https://openalex.org/W2953965357","https://openalex.org/W2998574808","https://openalex.org/W6649567269"],"related_works":["https://openalex.org/W2200188075","https://openalex.org/W4230405657","https://openalex.org/W4254594467","https://openalex.org/W4252596799","https://openalex.org/W244044452","https://openalex.org/W2552915643","https://openalex.org/W3213135344","https://openalex.org/W3183956626","https://openalex.org/W170547082","https://openalex.org/W2136735429"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2],"witnessed":[3],"an":[4,40,86],"increased":[5],"interest":[6],"in":[7,43,46],"computing":[8],"cosine":[9,28,63,70,91],"similarities":[10],"between":[11],"documents":[12],"(or":[13],"commodities).":[14],"Most":[15],"previous":[16],"studies":[17],"require":[18],"the":[19,62,69,74,82,90,101,110],"specification":[20],"of":[21,57,78,85,89,113],"a":[22,95],"minimum":[23],"similarity":[24,29,71],"threshold":[25,42],"to":[26,38,51],"perform":[27],"search.":[30],"However,":[31],"it":[32],"is":[33],"usually":[34],"difficult":[35],"for":[36,99],"users":[37],"provide":[39],"appropriate":[41],"practice.":[44],"Instead,":[45],"this":[47],"paper,":[48],"we":[49,66],"propose":[50],"search":[52],"top-K":[53],"strongly":[54],"related":[55],"pairs":[56],"objects":[58],"as":[59],"measured":[60],"by":[61],"similarity.":[64],"Specifically,":[65],"first":[67],"define":[68],"measure":[72],"from":[73],"association":[75],"analysis":[76],"point":[77],"view":[79],"and":[80,103],"identify":[81],"monotone":[83],"property":[84],"upper":[87],"bound":[88],"measure,":[92],"then":[93],"exploit":[94],"diagonal":[96],"traversal":[97],"strategy":[98],"developing":[100],"TOP-DATA":[102],"TOP-DATA-R":[104],"algorithms.":[105,115],"Finally,":[106],"experimental":[107],"results":[108],"demonstrate":[109],"computational":[111],"efficiencies":[112],"above":[114]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
