{"id":"https://openalex.org/W2031754437","doi":"https://doi.org/10.1145/1287620.1287623","title":"ROLAP implementations of the data cube","display_name":"ROLAP implementations of the data cube","publication_year":2007,"publication_date":"2007-11-02","ids":{"openalex":"https://openalex.org/W2031754437","doi":"https://doi.org/10.1145/1287620.1287623","mag":"2031754437"},"language":"en","primary_location":{"id":"doi:10.1145/1287620.1287623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1287620.1287623","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"},"type":"review","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/A5062680180","display_name":"Konstantinos Morfonios","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantinos Morfonios","raw_affiliation_strings":["University of Athens"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020436595","display_name":"Stratis Konakas","orcid":null},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stratis Konakas","raw_affiliation_strings":["University of Athens"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084870386","display_name":"Yannis Ioannidis","orcid":"https://orcid.org/0000-0002-1705-8247"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Ioannidis","raw_affiliation_strings":["University of Athens"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Athens","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018788426","display_name":"Nikolaos Kotsis","orcid":null},"institutions":[{"id":"https://openalex.org/I18850439","display_name":"Capgemini (Netherlands)","ror":"https://ror.org/03amxdk57","country_code":"NL","type":"company","lineage":["https://openalex.org/I18850439","https://openalex.org/I4210136798"]},{"id":"https://openalex.org/I4210109032","display_name":"Capgemini (United Kingdom)","ror":"https://ror.org/01nb27779","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210109032","https://openalex.org/I4210136798"]}],"countries":["GB","NL"],"is_corresponding":false,"raw_author_name":"Nikolaos Kotsis","raw_affiliation_strings":["Capgemini UK","Capgemini UK#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Capgemini UK","institution_ids":["https://openalex.org/I4210109032"]},{"raw_affiliation_string":"Capgemini UK#TAB#","institution_ids":["https://openalex.org/I18850439"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.3685,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.92562993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"39","issue":"4","first_page":"12","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9962999820709229,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9710000157356262,"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/online-analytical-processing","display_name":"Online analytical processing","score":0.8976503610610962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8654323816299438},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.694564700126648},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.5632268786430359},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.5358608365058899},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4760458469390869},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.46722540259361267},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.46527808904647827},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.43624159693717957},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4279646575450897},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4220667779445648},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4200614392757416},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.33325207233428955},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3147760033607483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11815008521080017},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08432754874229431}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.8976503610610962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8654323816299438},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.694564700126648},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.5632268786430359},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.5358608365058899},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4760458469390869},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.46722540259361267},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.46527808904647827},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.43624159693717957},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4279646575450897},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4220667779445648},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4200614392757416},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.33325207233428955},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3147760033607483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11815008521080017},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08432754874229431},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1287620.1287623","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1287620.1287623","pdf_url":null,"source":{"id":"https://openalex.org/S157921468","display_name":"ACM Computing Surveys","issn_l":"0360-0300","issn":["0360-0300","1557-7341"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Computing Surveys","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W29997053","https://openalex.org/W38346608","https://openalex.org/W109653991","https://openalex.org/W769870517","https://openalex.org/W1498726635","https://openalex.org/W1514365875","https://openalex.org/W1514949376","https://openalex.org/W1517994583","https://openalex.org/W1520432709","https://openalex.org/W1522055873","https://openalex.org/W1538267625","https://openalex.org/W1566760924","https://openalex.org/W1578856586","https://openalex.org/W1581805425","https://openalex.org/W1590183325","https://openalex.org/W1601435884","https://openalex.org/W1778331442","https://openalex.org/W1947513794","https://openalex.org/W1977339852","https://openalex.org/W1978220611","https://openalex.org/W1993482412","https://openalex.org/W1998244781","https://openalex.org/W2001852222","https://openalex.org/W2007625694","https://openalex.org/W2011679994","https://openalex.org/W2014339852","https://openalex.org/W2044240774","https://openalex.org/W2045604576","https://openalex.org/W2049859567","https://openalex.org/W2061660313","https://openalex.org/W2068289711","https://openalex.org/W2071288167","https://openalex.org/W2072764742","https://openalex.org/W2074713486","https://openalex.org/W2080133348","https://openalex.org/W2087869882","https://openalex.org/W2089916605","https://openalex.org/W2092103580","https://openalex.org/W2101735626","https://openalex.org/W2103201239","https://openalex.org/W2106181436","https://openalex.org/W2108457969","https://openalex.org/W2112452234","https://openalex.org/W2113888164","https://openalex.org/W2114076791","https://openalex.org/W2114372843","https://openalex.org/W2114712170","https://openalex.org/W2120273955","https://openalex.org/W2128318828","https://openalex.org/W2143401113","https://openalex.org/W2150950420","https://openalex.org/W2156554027","https://openalex.org/W2164049396","https://openalex.org/W2165467455","https://openalex.org/W2185907055","https://openalex.org/W2199389590","https://openalex.org/W2614663664","https://openalex.org/W4230230708","https://openalex.org/W4231287357","https://openalex.org/W4234667859","https://openalex.org/W4250212406","https://openalex.org/W4255826646"],"related_works":["https://openalex.org/W2366586806","https://openalex.org/W1561366042","https://openalex.org/W2198278743","https://openalex.org/W2359610078","https://openalex.org/W4243836966","https://openalex.org/W2381646725","https://openalex.org/W1535822977","https://openalex.org/W2168477359","https://openalex.org/W1518802638","https://openalex.org/W1578257433"],"abstract_inverted_index":{"Implementation":[0],"of":[1,22,25,63,83,102,120,175,182],"the":[2,20,38,53,118,121,132,145,149,153,165,180,187,192],"data":[3,88,103,133],"cube":[4,54,68,134],"is":[5],"an":[6],"important":[7],"and":[8,17,36,47,75,98,135,160,190],"scientifically":[9],"interesting":[10,170],"issue":[11],"in":[12],"On-Line":[13],"Analytical":[14],"Processing":[15],"(OLAP)":[16],"has":[18],"been":[19,78],"subject":[21],"a":[23,60],"plethora":[24],"related":[26],"publications.":[27],"Naive":[28],"implementation":[29,69],"methods":[30,64,95,129],"that":[31,65,96,130,140,164],"compute":[32,97],"each":[33],"node":[34],"separately":[35],"store":[37,99],"result":[39],"are":[40,92],"impractical,":[41],"since":[42],"they":[43],"have":[44,77],"exponential":[45],"time":[46],"space":[48,155,188],"complexity":[49],"with":[50,168,198],"respect":[51,71],"to":[52,72,179],"dimensionality.":[55],"To":[56],"overcome":[57],"this":[58,110],"drawback,":[59],"wide":[61],"range":[62],"provide":[66],"efficient":[67],"(with":[70],"both":[73],"computation":[74],"storage)":[76],"proposed,":[79],"which":[80],"make":[81],"use":[82],"relational,":[84],"multidimensional,":[85],"or":[86],"graph-based":[87],"structures.":[89],"Furthermore,":[90],"there":[91],"several":[93,162],"other":[94],"approximate":[100],"descriptions":[101],"cubes,":[104],"sacrificing":[105],"accuracy":[106],"for":[107,186,194],"condensation.":[108],"In":[109],"article,":[111],"we":[112],"focus":[113],"on":[114],"Relational-OLAP":[115],"(ROLAP),":[116],"following":[117],"majority":[119],"efforts":[122],"so":[123],"far.":[124],"We":[125,143],"review":[126],"existing":[127,146],"ROLAP":[128],"implement":[131],"identify":[136,161],"six":[137],"orthogonal":[138],"parameters/dimensions":[139],"characterize":[141],"them.":[142],"place":[144],"techniques":[147,166],"at":[148],"appropriate":[150],"points":[151],"within":[152],"problem":[154],"defined":[156],"by":[157],"these":[158,176],"parameters":[159,189],"clusters":[163],"form":[167],"various":[169],"properties.":[171],"A":[172],"careful":[173],"study":[174],"properties":[177],"leads":[178],"identification":[181],"particularly":[183],"effective":[184],"values":[185],"indicates":[191],"potential":[193],"devising":[195],"new":[196],"algorithms":[197],"better":[199],"overall":[200],"performance.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":6},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
