{"id":"https://openalex.org/W2146442966","doi":"https://doi.org/10.1145/1081870.1081965","title":"CLICKS","display_name":"CLICKS","publication_year":2005,"publication_date":"2005-08-21","ids":{"openalex":"https://openalex.org/W2146442966","doi":"https://doi.org/10.1145/1081870.1081965","mag":"2146442966"},"language":"en","primary_location":{"id":"doi:10.1145/1081870.1081965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","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/A5019559411","display_name":"Mohammed J. Zaki","orcid":"https://orcid.org/0000-0003-4711-0234"},"institutions":[{"id":"https://openalex.org/I165799507","display_name":"Rensselaer Polytechnic Institute","ror":"https://ror.org/01rtyzb94","country_code":"US","type":"education","lineage":["https://openalex.org/I165799507"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohammed J. Zaki","raw_affiliation_strings":["Rensselaer Polytechnic Institute, Troy, NY"],"affiliations":[{"raw_affiliation_string":"Rensselaer Polytechnic Institute, Troy, NY","institution_ids":["https://openalex.org/I165799507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069761058","display_name":"Markus Peters","orcid":"https://orcid.org/0000-0001-7500-5672"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Peters","raw_affiliation_strings":["RWTH University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104360871","display_name":"Ira Assent","orcid":"https://orcid.org/0000-0002-1091-9948"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ira Assent","raw_affiliation_strings":["RWTH University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"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/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Seidl","raw_affiliation_strings":["RWTH University, Aachen, Germany"],"affiliations":[{"raw_affiliation_string":"RWTH University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5019559411"],"corresponding_institution_ids":["https://openalex.org/I165799507"],"apc_list":null,"apc_paid":null,"fwci":3.5121,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93040684,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"736","last_page":"742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9966999888420105,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9940999746322632,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.8568525314331055},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7684975862503052},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7248581051826477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5558301210403442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5186678171157837},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.42770248651504517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4101818799972534},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2580339312553406}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8568525314331055},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7684975862503052},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7248581051826477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5558301210403442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5186678171157837},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.42770248651504517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4101818799972534},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2580339312553406},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1081870.1081965","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1081870.1081965","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining","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":24,"referenced_works":["https://openalex.org/W60856054","https://openalex.org/W191006456","https://openalex.org/W1493217831","https://openalex.org/W1515984610","https://openalex.org/W1560541823","https://openalex.org/W1563099561","https://openalex.org/W1673310716","https://openalex.org/W1972221303","https://openalex.org/W1977496278","https://openalex.org/W1984075651","https://openalex.org/W1995433152","https://openalex.org/W2041674806","https://openalex.org/W2054638878","https://openalex.org/W2057712948","https://openalex.org/W2064686951","https://openalex.org/W2076092592","https://openalex.org/W2112210867","https://openalex.org/W2122943553","https://openalex.org/W2138660495","https://openalex.org/W2140190241","https://openalex.org/W2144544802","https://openalex.org/W2149230623","https://openalex.org/W2886661658","https://openalex.org/W6602452485"],"related_works":["https://openalex.org/W1980381208","https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W2560646951","https://openalex.org/W4297454206","https://openalex.org/W65104662","https://openalex.org/W1871748041","https://openalex.org/W2362286668","https://openalex.org/W2133382151","https://openalex.org/W2364594919"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,15,30,65],"novel":[3],"algorithm":[4],"called":[5],"CLICKS,":[6],"that":[7],"finds":[8],"clusters":[9],"in":[10,64],"categorical":[11],"datasets":[12],"based":[13],"on":[14,69],"search":[16],"for":[17,57],"k-partite":[18],"maximal":[19],"cliques.":[20],"Unlike":[21],"previous":[22,40],"methods,":[23],"CLICKS":[24,38],"mines":[25],"subspace":[26],"clusters.":[27],"It":[28],"uses":[29],"selective":[31],"vertical":[32],"method":[33,56],"to":[34],"guarantee":[35],"complete":[36],"search.":[37],"outperforms":[39],"approaches":[41],"by":[42],"over":[43],"an":[44],"order":[45],"of":[46,53],"magnitude":[47],"and":[48,71],"scales":[49],"better":[50],"than":[51],"any":[52],"the":[54],"existing":[55],"high-dimensional":[58],"datasets.":[59,73],"These":[60],"results":[61],"are":[62],"demonstrated":[63],"comprehensive":[66],"performance":[67],"study":[68],"real":[70],"synthetic":[72]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":3}],"updated_date":"2026-03-01T08:55:55.761014","created_date":"2016-06-24T00:00:00"}