{"id":"https://openalex.org/W2152279665","doi":"https://doi.org/10.1109/69.895803","title":"Object-based selective materialization for efficient implementation of spatial data cubes","display_name":"Object-based selective materialization for efficient implementation of spatial data cubes","publication_year":2000,"publication_date":"2000-01-01","ids":{"openalex":"https://openalex.org/W2152279665","doi":"https://doi.org/10.1109/69.895803","mag":"2152279665"},"language":"en","primary_location":{"id":"doi:10.1109/69.895803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/69.895803","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060112622","display_name":"Neboj\u0161a Stefanovi\u0107","orcid":"https://orcid.org/0000-0003-1884-9128"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"N. Stefanovic","raw_affiliation_strings":["Seagate Software, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Seagate Software, BC, Canada","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103750286","display_name":"Jiawei Han","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jiawei Han","raw_affiliation_strings":["School of Computing Science, Simon Fraser University, Burnaby, BC, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computing Science, Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109431736","display_name":"K. Koperski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Koperski","raw_affiliation_strings":["MathSoft, Inc., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"MathSoft, Inc., Seattle, WA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060112622"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2606,"has_fulltext":false,"cited_by_count":174,"citation_normalized_percentile":{"value":0.92300642,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"12","issue":"6","first_page":"938","last_page":"958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9991999864578247,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9532703757286072},{"id":"https://openalex.org/keywords/cuboid","display_name":"Cuboid","score":0.877133846282959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8003659248352051},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.7120214104652405},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.7016793489456177},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.625835657119751},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.6195683479309082},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.565255880355835},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5560523271560669},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5527181625366211},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5524354577064514},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.45916351675987244},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4512670040130615},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16326558589935303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06752133369445801}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.9532703757286072},{"id":"https://openalex.org/C203527163","wikidata":"https://www.wikidata.org/wiki/Q262959","display_name":"Cuboid","level":2,"score":0.877133846282959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003659248352051},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.7120214104652405},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.7016793489456177},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.625835657119751},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.6195683479309082},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.565255880355835},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5560523271560669},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5527181625366211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5524354577064514},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.45916351675987244},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4512670040130615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16326558589935303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06752133369445801},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/69.895803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/69.895803","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:oai:CiteSeerX.psu:10.1.1.220.2367","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.220.2367","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uiuc.edu/%7Ehanj/pdf/tkde.pdf.sav","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W109127539","https://openalex.org/W1514949376","https://openalex.org/W1575476631","https://openalex.org/W1591450657","https://openalex.org/W1601313046","https://openalex.org/W1756966286","https://openalex.org/W1870669718","https://openalex.org/W1891244760","https://openalex.org/W2033534839","https://openalex.org/W2044240774","https://openalex.org/W2070911018","https://openalex.org/W2072764742","https://openalex.org/W2103127236","https://openalex.org/W2103201239","https://openalex.org/W2108971776","https://openalex.org/W2111399468","https://openalex.org/W2124199440","https://openalex.org/W2126626732","https://openalex.org/W2150950420","https://openalex.org/W2160677885","https://openalex.org/W2161109697","https://openalex.org/W2167081989","https://openalex.org/W2910328769","https://openalex.org/W3021753108","https://openalex.org/W3176132770","https://openalex.org/W4289258943","https://openalex.org/W6630762386","https://openalex.org/W6635182610","https://openalex.org/W6636218444","https://openalex.org/W6637909014","https://openalex.org/W6639245086","https://openalex.org/W6682058615"],"related_works":["https://openalex.org/W2366586806","https://openalex.org/W2407777725","https://openalex.org/W2198278743","https://openalex.org/W1969639826","https://openalex.org/W2359610078","https://openalex.org/W2386977141","https://openalex.org/W1578257433","https://openalex.org/W2128516934","https://openalex.org/W2360760838","https://openalex.org/W119671363"],"abstract_inverted_index":{"With":[0],"a":[1,118,147,161,167,171,186],"huge":[2],"amount":[3],"of":[4,13,35,64,78,102,113,139,166,170,181,193],"data":[5,31,59,80,88,141,183],"stored":[6],"in":[7,136],"spatial":[8,14,30,36,45,53,58,66,79,87,104,108,121,182],"databases":[9],"and":[10,33,67,70,82,99,185],"the":[11,27,76,103,154,191],"introduction":[12],"components":[15],"to":[16,25],"many":[17],"relational":[18],"or":[19],"object-relational":[20],"databases,":[21],"it":[22],"is":[23,72,116,129],"important":[24],"study":[26,42,115,188],"methods":[28,43,51],"for":[29,44,75,120,177],"warehousing":[32],"OLAP":[34,50,109],"data.":[37],"In":[38],"this":[39],"paper,":[40],"we":[41,157],"OLAP,":[46],"by":[47],"integrating":[48],"nonspatial":[49,68,140],"with":[52,92],"database":[54],"implementation":[55],"techniques.":[56,195],"A":[57],"warehouse":[60],"model,":[61],"which":[62,128],"consists":[63],"both":[65],"dimensions":[69],"measures,":[71],"proposed.":[73],"Methods":[74],"computation":[77],"cubes":[81,89],"analytical":[83],"processing":[84],"on":[85,117,160],"such":[86],"are":[90,175],"studied,":[91],"several":[93],"strategies":[94],"being":[95],"proposed,":[96],"including":[97],"approximation":[98],"selective":[100,126,133,155,179],"materialization":[101,134,180],"objects":[105],"resulting":[106],"from":[107,131],"operations.":[110],"The":[111],"focus":[112],"our":[114],"method":[119],"cube":[122,142],"construction,":[123],"called":[124],"object-based":[125,178],"materialization,":[127,156],"different":[130],"cuboid-based":[132],"(proposed":[135],"previous":[137],"studies":[138],"construction).":[143],"Rather":[144],"than":[145],"using":[146],"cuboid":[148],"as":[149],"an":[150],"atomic":[151],"structure":[152],"during":[153],"explore":[158],"granularity":[159],"much":[162],"finer":[163],"level:":[164],"that":[165],"single":[168],"cell":[169],"cuboid.":[172],"Several":[173],"algorithms":[174],"proposed":[176],"cubes,":[184],"performance":[187],"has":[189],"demonstrated":[190],"effectiveness":[192],"these":[194]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":7},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":17}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}