{"id":"https://openalex.org/W2586711596","doi":"https://doi.org/10.1145/3022227.3022229","title":"Frag-shells cube based on hierarchical dimension encoding tree","display_name":"Frag-shells cube based on hierarchical dimension encoding tree","publication_year":2017,"publication_date":"2017-01-05","ids":{"openalex":"https://openalex.org/W2586711596","doi":"https://doi.org/10.1145/3022227.3022229","mag":"2586711596"},"language":"en","primary_location":{"id":"doi:10.1145/3022227.3022229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3022227.3022229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109200194","display_name":"Shanshan Tang","orcid":"https://orcid.org/0000-0002-1115-6479"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Tang","raw_affiliation_strings":["Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045342377","display_name":"Dingsheng Wan","orcid":"https://orcid.org/0000-0002-4039-007X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dingsheng Wan","raw_affiliation_strings":["Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605236","display_name":"Yuelong Zhu","orcid":"https://orcid.org/0000-0001-7194-260X"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuelong Zhu","raw_affiliation_strings":["Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023243107","display_name":"Jianguo Yao","orcid":"https://orcid.org/0000-0002-1142-4496"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Yao","raw_affiliation_strings":["Bureau of Hydrology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bureau of Hydrology, China","institution_ids":["https://openalex.org/I4210099662"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2248,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.33153527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9958999752998352,"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":0.9958999752998352,"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":0.992900013923645,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9829999804496765,"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":0.8875682950019836},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.8493127822875977},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.8321318626403809},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.7863497734069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185282111167908},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6921316981315613},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5769067406654358},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5759821534156799},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5363830924034119},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4523507058620453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3685961365699768},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3493692874908447},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33501702547073364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19305410981178284},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.18909066915512085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11629000306129456}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.8875682950019836},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.8493127822875977},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.8321318626403809},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.7863497734069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185282111167908},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6921316981315613},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5769067406654358},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5759821534156799},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5363830924034119},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4523507058620453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3685961365699768},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3493692874908447},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33501702547073364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19305410981178284},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.18909066915512085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11629000306129456},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3022227.3022229","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3022227.3022229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W7077492","https://openalex.org/W1514498087","https://openalex.org/W1590183325","https://openalex.org/W1890458195","https://openalex.org/W2015659187","https://openalex.org/W2091298248","https://openalex.org/W2103201239","https://openalex.org/W2106181436","https://openalex.org/W2118928894","https://openalex.org/W2135663430","https://openalex.org/W2135888006","https://openalex.org/W2136470918","https://openalex.org/W2138477815","https://openalex.org/W2167350691","https://openalex.org/W2170037597","https://openalex.org/W2188351697","https://openalex.org/W2353955762","https://openalex.org/W2376720444","https://openalex.org/W6639514131"],"related_works":["https://openalex.org/W2078886005","https://openalex.org/W2087724950","https://openalex.org/W1514498087","https://openalex.org/W2366586806","https://openalex.org/W2198278743","https://openalex.org/W2359610078","https://openalex.org/W1578257433","https://openalex.org/W2386977141","https://openalex.org/W2360760838","https://openalex.org/W2727179277"],"abstract_inverted_index":{"Pre-computation":[0],"of":[1,9,18,22,34,45],"data":[2,23,35,46],"cube":[3,47],"can":[4],"greatly":[5],"improve":[6],"the":[7,32,43],"performance":[8],"OLAP":[10],"(online":[11],"analytical":[12],"processing).":[13],"There":[14],"are":[15],"a":[16,38],"lot":[17],"effective":[19],"pre-computation":[20,29],"methods":[21],"cube.":[24],"But":[25],"in":[26,41],"practice,":[27],"appropriate":[28],"method":[30],"for":[31],"characteristics":[33],"set":[36],"plays":[37],"crucial":[39],"role":[40],"improving":[42],"efficiency":[44],"pre-computation.":[48]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
