{"id":"https://openalex.org/W2021296174","doi":"https://doi.org/10.1145/2588555.2612663","title":"Multi-dimensional data statistics for columnar in-memory databases","display_name":"Multi-dimensional data statistics for columnar in-memory databases","publication_year":2014,"publication_date":"2014-06-18","ids":{"openalex":"https://openalex.org/W2021296174","doi":"https://doi.org/10.1145/2588555.2612663","mag":"2021296174"},"language":"en","primary_location":{"id":"doi:10.1145/2588555.2612663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2612663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","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/A5041214029","display_name":"Curtis Kroetsch","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Curtis Kroetsch","raw_affiliation_strings":["University of Waterloo, Waterloo, ON, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, ON, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041214029"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09414964,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1605","last_page":"1606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9980999827384949,"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/encoding","display_name":"Encoding (memory)","score":0.7841277122497559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.764411449432373},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6129836440086365},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5090293884277344},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.5026600360870361},{"id":"https://openalex.org/keywords/column","display_name":"Column (typography)","score":0.428621768951416},{"id":"https://openalex.org/keywords/data-dictionary","display_name":"Data dictionary","score":0.42490479350090027},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.37283921241760254},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34708961844444275},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3404301702976227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24845439195632935},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.139325350522995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1209210455417633},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07450762391090393}],"concepts":[{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7841277122497559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764411449432373},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6129836440086365},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5090293884277344},{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.5026600360870361},{"id":"https://openalex.org/C2780551164","wikidata":"https://www.wikidata.org/wiki/Q2306599","display_name":"Column (typography)","level":3,"score":0.428621768951416},{"id":"https://openalex.org/C98143201","wikidata":"https://www.wikidata.org/wiki/Q1147639","display_name":"Data dictionary","level":3,"score":0.42490479350090027},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.37283921241760254},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34708961844444275},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3404301702976227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24845439195632935},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.139325350522995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1209210455417633},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07450762391090393},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2588555.2612663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2588555.2612663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data","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":4,"referenced_works":["https://openalex.org/W1979176980","https://openalex.org/W2023538275","https://openalex.org/W2037192958","https://openalex.org/W2155121477"],"related_works":["https://openalex.org/W3126131865","https://openalex.org/W4253186488","https://openalex.org/W2044344400","https://openalex.org/W1996938127","https://openalex.org/W2083611981","https://openalex.org/W2072507639","https://openalex.org/W4231814374","https://openalex.org/W2155964760","https://openalex.org/W2043380045","https://openalex.org/W2099557065"],"abstract_inverted_index":{"The":[0,52,91],"research":[1],"presented":[2],"here":[3],"studies":[4],"the":[5,10,36,41,77,88,95],"multi-dimensional":[6],"data":[7,115],"statistics":[8,116],"in":[9,47,102],"context":[11],"of":[12,43,94,106],"columnar":[13],"in-memory":[14],"database":[15],"systems.":[16],"Such":[17],"systems,":[18],"for":[19,112],"example":[20],"SAP":[21],"HANA,":[22],"Server":[23],"Apollo,":[24],"or":[25],"IBM":[26],"BLU,":[27],"use":[28],"an":[29,48],"order-preserving":[30],"dictionary":[31,53,60,68,96],"with":[32,73],"dense":[33,104],"encoding":[34,63,97],"on":[35,87],"read-optimized":[37],"storage":[38],"which":[39,108],"encodes":[40],"values":[42,57,69,107],"a":[44,103],"single":[45],"column":[46],"ordered,":[49],"dense-domain":[50],"dictionary.":[51],"maps":[54],"variable-length":[55],"domain":[56,105],"to":[58,83],"fixed-size":[59],"entries.":[61],"This":[62],"reduces":[64],"memory":[65],"consumption":[66],"as":[67],"can":[70,109],"be":[71,84,110],"represented":[72],"fewer":[74],"bits":[75],"than":[76],"original":[78],"values,":[79],"and":[80],"allows":[81],"queries":[82],"evaluated":[85],"efficiently":[86],"encoded":[89],"data.":[90],"main":[92],"characteristics":[93],"is":[98],"that":[99],"it":[100],"results":[101],"exploited":[111],"building":[113],"efficient":[114],"objects.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
