{"id":"https://openalex.org/W2318056513","doi":"https://doi.org/10.1109/tkde.2016.2515590","title":"Cluster-Driven Navigation of the Query Space","display_name":"Cluster-Driven Navigation of the Query Space","publication_year":2016,"publication_date":"2016-01-07","ids":{"openalex":"https://openalex.org/W2318056513","doi":"https://doi.org/10.1109/tkde.2016.2515590","mag":"2318056513"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2016.2515590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2515590","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.cwi.nl/pub/24388/24388.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069698101","display_name":"Thibault Sellam","orcid":null},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Thibault Sellam","raw_affiliation_strings":["CWI, 123 Science Park, Amsterdam, XG, the Netherlands"],"affiliations":[{"raw_affiliation_string":"CWI, 123 Science Park, Amsterdam, XG, the Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108572275","display_name":"Martin Kersten","orcid":null},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Martin Kersten","raw_affiliation_strings":["CWI, 123 Science Park, Amsterdam, XG, the Netherlands"],"affiliations":[{"raw_affiliation_string":"CWI, 123 Science Park, Amsterdam, XG, the Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069698101"],"corresponding_institution_ids":["https://openalex.org/I1341640284"],"apc_list":null,"apc_paid":null,"fwci":2.0336,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90966387,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"1118","last_page":"1131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9997000098228455,"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/computer-science","display_name":"Computer science","score":0.8821231126785278},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.7080308198928833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5876674652099609},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5110255479812622},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4645644724369049},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.45906949043273926},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.453754186630249},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4473629295825958},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4325970411300659},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42161065340042114},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26952365040779114},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09057164192199707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8821231126785278},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7080308198928833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5876674652099609},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5110255479812622},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4645644724369049},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.45906949043273926},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.453754186630249},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4473629295825958},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4325970411300659},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42161065340042114},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26952365040779114},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09057164192199707},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tkde.2016.2515590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2016.2515590","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:cwi:oai:cwi.nl:24388","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/24388","pdf_url":"https://ir.cwi.nl/pub/24388/24388.pdf","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, 28(5), 1118 - 1131","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/3ce2374e-4bcc-4934-b393-9a54f05e4b0d","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/clusterdriven-navigation-of-the-query-space(3ce2374e-4bcc-4934-b393-9a54f05e4b0d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sellam, T & Kersten, M 2016, 'Cluster-Driven Navigation of the Query Space', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, pp. 1118-1131. https://doi.org/10.1109/TKDE.2016.2515590","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/3ce2374e-4bcc-4934-b393-9a54f05e4b0d","is_oa":false,"landing_page_url":"http://hdl.handle.net/11245.1/3ce2374e-4bcc-4934-b393-9a54f05e4b0d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400088","display_name":"UvA-DARE (University of Amsterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887064364","host_organization_name":"University of Amsterdam","host_organization_lineage":["https://openalex.org/I887064364"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sellam, T & Kersten, M 2016, 'Cluster-Driven Navigation of the Query Space', IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 5, pp. 1118-1131. https://doi.org/10.1109/TKDE.2016.2515590","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/3ce2374e-4bcc-4934-b393-9a54f05e4b0d","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/clusterdriven-navigation-of-the-query-space(3ce2374e-4bcc-4934-b393-9a54f05e4b0d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, 28(5), 1118 - 1131. IEEE Computer Society","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:cwi:oai:cwi.nl:24388","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/24388","pdf_url":"https://ir.cwi.nl/pub/24388/24388.pdf","source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, 28(5), 1118 - 1131","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2318056513.pdf","grobid_xml":"https://content.openalex.org/works/W2318056513.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W579871118","https://openalex.org/W1565838812","https://openalex.org/W1594031697","https://openalex.org/W1672197616","https://openalex.org/W1969650088","https://openalex.org/W2031079940","https://openalex.org/W2065811242","https://openalex.org/W2079361215","https://openalex.org/W2083607096","https://openalex.org/W2083619093","https://openalex.org/W2098961002","https://openalex.org/W2100852567","https://openalex.org/W2109130989","https://openalex.org/W2112169260","https://openalex.org/W2117355841","https://openalex.org/W2126431245","https://openalex.org/W2127018826","https://openalex.org/W2156136663","https://openalex.org/W2156247618","https://openalex.org/W2157305458","https://openalex.org/W2159726625","https://openalex.org/W2160382748","https://openalex.org/W2242977838","https://openalex.org/W2284530523","https://openalex.org/W2295123623","https://openalex.org/W2798115135","https://openalex.org/W2999729612","https://openalex.org/W3085162807","https://openalex.org/W3120740533","https://openalex.org/W4254311734","https://openalex.org/W6642467534","https://openalex.org/W6682933993","https://openalex.org/W6696216207","https://openalex.org/W6697200562"],"related_works":["https://openalex.org/W4245395944","https://openalex.org/W2143551613","https://openalex.org/W1979740464","https://openalex.org/W2138823233","https://openalex.org/W2143345456","https://openalex.org/W2023236823","https://openalex.org/W1789991335","https://openalex.org/W2562731034","https://openalex.org/W2101053337","https://openalex.org/W1840581861"],"abstract_inverted_index":{"How":[0],"can":[1,40,131],"users":[2,54,71],"who":[3],"know":[4],"neither":[5],"programming":[6],"nor":[7],"statistics":[8],"explore":[9,55],"large":[10],"databases?":[11],"We":[12,83,117],"present":[13,84,119],"a":[14,27,141],"novel":[15],"interface,":[16],"designed":[17],"to":[18,36,98],"guide":[19],"explorers":[20],"through":[21,58],"their":[22],"data:":[23],"Blaeu.":[24],"Blaeu":[25,130],"is":[26,48,64,80],"database":[28],"front-end,":[29],"\u201cboosted\u201d":[30],"with":[31,73,96,136],"unsupervised":[32],"learning":[33],"primitives.":[34],"Thanks":[35],"these":[37],"primitives,":[38],"it":[39],"summarize":[41],"and":[42,75,108,115],"recommend":[43],"queries.":[44],"Our":[45,77,126],"first":[46,93],"contribution":[47,79],"Blaeu's":[49,81],"interaction":[50],"model.":[51],"With":[52],"Blaeu,":[53],"the":[56,101,109],"data":[57,59,62],"maps.":[60],"A":[61],"map":[63],"an":[65,120],"interactive":[66],"set":[67],"of":[68,134,138],"clusters,":[69],"which":[70],"navigate":[72],"zooms":[74],"projections.":[76],"second":[78,102],"engine.":[82],"three":[85,89],"mapping":[86],"algorithms,":[87],"for":[88],"different":[90],"settings.":[91],"The":[92],"algorithm":[94],"deals":[95],"small":[97],"medium":[99],"databases,":[100],"one":[103,111],"targets":[104],"high":[105],"dimensional":[106],"spaces,":[107],"last":[110],"focuses":[112],"on":[113,124,144],"speed":[114],"interaction.":[116],"then":[118],"optimization":[121],"strategy":[122],"based":[123],"sampling.":[125],"experiments":[127],"reveal":[128],"that":[129],"cluster":[132],"millions":[133],"tuples":[135],"hundreds":[137],"columns":[139],"in":[140],"few":[142],"seconds":[143],"commodity":[145],"hardware.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
