{"id":"https://openalex.org/W2470601145","doi":"https://doi.org/10.1145/2949689.2949692","title":"Fast, Explainable View Detection to Characterize Exploration Queries","display_name":"Fast, Explainable View Detection to Characterize Exploration Queries","publication_year":2016,"publication_date":"2016-07-08","ids":{"openalex":"https://openalex.org/W2470601145","doi":"https://doi.org/10.1145/2949689.2949692","mag":"2470601145"},"language":"en","primary_location":{"id":"doi:10.1145/2949689.2949692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2949689.2949692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Scientific and Statistical Database Management","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/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, Amsterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"CWI, Amsterdam, 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, Amsterdam, the Netherlands"],"affiliations":[{"raw_affiliation_string":"CWI, Amsterdam, 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":1.532,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83675873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9991999864578247,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9984999895095825,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.859389066696167},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.7667094469070435},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6931476593017578},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.636883020401001},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6125181317329407},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5551655888557434},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5517779588699341},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.525954008102417},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4793756306171417},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4661394953727722},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4317212998867035},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3118433952331543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2991626262664795}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.859389066696167},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7667094469070435},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6931476593017578},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.636883020401001},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6125181317329407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5551655888557434},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5517779588699341},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.525954008102417},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4793756306171417},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4661394953727722},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4317212998867035},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3118433952331543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2991626262664795},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"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:10.1145/2949689.2949692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2949689.2949692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"},{"id":"pmh:cwi:oai:cwi.nl:25071","is_oa":false,"landing_page_url":"https://ir.cwi.nl/pub/25071","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":"","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:dare.uva.nl:openaire_cris_publications/d572f203-d75b-42a5-8ea3-7bf68bf576ec","is_oa":false,"landing_page_url":"https://hdl.handle.net/11245.1/d572f203-d75b-42a5-8ea3-7bf68bf576ec","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, Fast, Explainable View Detection to Characterize Exploration Queries. in P Baumann, I Manolescu-Goujot, L Trani, Y Ioannidis, G G Barnaf\u00f6ldi, L Dobos & E B\u00e1nyai (eds), Scientific and Statistical Database Management : 28th International Conference, SSDBM 2016 : Budapest, Hungary, July 2016 : proceedings., 20, New York, NY, 28th International Conference on Scientific and Statistical Database Management, Budapest, Hungary, 18/07/16. https://doi.org/10.1145/2949689.2949692","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dare.uva.nl:publications/d572f203-d75b-42a5-8ea3-7bf68bf576ec","is_oa":false,"landing_page_url":"https://handle.uba.uva.nl/personal/pure/en/publications/fast-explainable-view-detection-to-characterize-exploration-queries(d572f203-d75b-42a5-8ea3-7bf68bf576ec).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, Fast, Explainable View Detection to Characterize Exploration Queries. in P Baumann, I Manolescu-Goujot, L Trani, Y Ioannidis, G G Barnaf\u00f6ldi, L Dobos & E B\u00e1nyai (eds), Scientific and Statistical Database Management : 28th International Conference, SSDBM 2016 : Budapest, Hungary, July 2016 : proceedings., 20, New York, NY, 28th International Conference on Scientific and Statistical Database Management, Budapest, Hungary, 18/07/16. https://doi.org/10.1145/2949689.2949692","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:uvapub:oai:dare.uva.nl:publications/d572f203-d75b-42a5-8ea3-7bf68bf576ec","is_oa":false,"landing_page_url":"https://dare.uva.nl/personal/pure/en/publications/fast-explainable-view-detection-to-characterize-exploration-queries(d572f203-d75b-42a5-8ea3-7bf68bf576ec).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":"Scientific and Statistical Database Management: 28th International Conference, SSDBM 2016 : Budapest, Hungary, July 2016 : proceedings","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W331617744","https://openalex.org/W1496357020","https://openalex.org/W1592237688","https://openalex.org/W1950803081","https://openalex.org/W1977496278","https://openalex.org/W1991758224","https://openalex.org/W1999518899","https://openalex.org/W2057593859","https://openalex.org/W2063393015","https://openalex.org/W2087414729","https://openalex.org/W2094332343","https://openalex.org/W2097167306","https://openalex.org/W2098961002","https://openalex.org/W2100852567","https://openalex.org/W2107031757","https://openalex.org/W2122686681","https://openalex.org/W2126575032","https://openalex.org/W2131451311","https://openalex.org/W2143444146","https://openalex.org/W2149304112","https://openalex.org/W2149684740","https://openalex.org/W2257756289","https://openalex.org/W2269738476","https://openalex.org/W2295123623","https://openalex.org/W4237277074","https://openalex.org/W4247236552","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2499400354","https://openalex.org/W2747166117","https://openalex.org/W2002428578","https://openalex.org/W2897258045","https://openalex.org/W2018406690","https://openalex.org/W2072332896","https://openalex.org/W2951748633","https://openalex.org/W2542042335","https://openalex.org/W4292309272"],"abstract_inverted_index":{"The":[0],"aim":[1],"of":[2,62,84,137],"data":[3],"exploration":[4],"is":[5,79,132],"to":[6,38,51,71,134],"get":[7],"acquainted":[8],"with":[9,110,118],"an":[10,135],"unfamiliar":[11],"database.":[12,86],"Typically,":[13],"explorers":[14],"operate":[15],"by":[16],"trial":[17],"and":[18,27,102,112,123],"error:":[19],"they":[20,67],"submit":[21],"a":[22,93],"query,":[23],"study":[24],"the":[25,56,76,82,85],"result,":[26],"refine":[28],"their":[29,42],"query":[30,43],"subsequently.":[31],"In":[32,45],"this":[33,88],"paper,":[34],"we":[35,47,90],"investigate":[36],"how":[37],"help":[39],"them":[40],"understand":[41],"results.":[44],"particular,":[46],"focus":[48],"on":[49],"medium":[50],"high":[52],"dimension":[53],"spaces:":[54],"if":[55],"database":[57],"contains":[58],"dozens":[59],"or":[60],"hundreds":[61],"columns,":[63],"which":[64,75],"variables":[65],"should":[66],"inspect?":[68],"We":[69],"propose":[70],"detect":[72,99],"subspaces":[73],"in":[74],"users'":[77],"selection":[78,143],"different":[80],"from":[81],"rest":[83],"From":[87],"idea,":[89],"built":[91],"Ziggy,":[92],"tuple":[94],"description":[95],"engine.":[96],"Ziggy":[97],"can":[98,104,116],"informative":[100],"subspaces,":[101],"it":[103,107,124,131],"explain":[105],"why":[106],"recommends":[108],"them,":[109],"visualizations":[111],"natural":[113],"language.":[114],"It":[115],"cope":[117],"mixed":[119],"data,":[120],"missing":[121],"values,":[122],"penalizes":[125],"redundancy.":[126],"Our":[127],"experiments":[128],"reveal":[129],"that":[130],"up":[133],"order":[136],"magnitude":[138],"faster":[139],"than":[140],"state-of-the-art":[141],"feature":[142],"algorithms,":[144],"at":[145],"minimal":[146],"accuracy":[147],"costs.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}
