{"id":"https://openalex.org/W2803338147","doi":"https://doi.org/10.1145/3164541.3164585","title":"A Closed Frag-Shells Cubing Algorithm on High Dimensional and Non-Hierarchical Data Sets","display_name":"A Closed Frag-Shells Cubing Algorithm on High Dimensional and Non-Hierarchical Data Sets","publication_year":2018,"publication_date":"2018-01-05","ids":{"openalex":"https://openalex.org/W2803338147","doi":"https://doi.org/10.1145/3164541.3164585","mag":"2803338147"},"language":"en","primary_location":{"id":"doi:10.1145/3164541.3164585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","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/A5101471839","display_name":"Qun Zhao","orcid":"https://orcid.org/0000-0002-0671-1706"},"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":"Qun Zhao","raw_affiliation_strings":["College of Computer and Information, Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, 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":["College of Computer and Information, Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, 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":["College of Computer and Information, Hohai University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109200194","display_name":"Shanshan Tang","orcid":"https://orcid.org/0000-0002-1115-6479"},"institutions":[{"id":"https://openalex.org/I917184967","display_name":"Bank of China","ror":"https://ror.org/02mt4s337","country_code":"CN","type":"other","lineage":["https://openalex.org/I917184967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Tang","raw_affiliation_strings":["Bank of China, Chongqing Branch"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bank of China, Chongqing Branch","institution_ids":["https://openalex.org/I917184967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.42827348,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9976000189781189,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9821000099182129,"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":0.8503217697143555},{"id":"https://openalex.org/keywords/data-cube","display_name":"Data cube","score":0.8316108584403992},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6983495354652405},{"id":"https://openalex.org/keywords/cube","display_name":"Cube (algebra)","score":0.6788105964660645},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6751654148101807},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5817735195159912},{"id":"https://openalex.org/keywords/bitmap","display_name":"Bitmap","score":0.548025369644165},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5335270762443542},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5255780816078186},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.513969361782074},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46091440320014954},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42146021127700806},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4108425974845886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1843927502632141},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13291025161743164},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.09656289219856262}],"concepts":[{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.8503217697143555},{"id":"https://openalex.org/C78168278","wikidata":"https://www.wikidata.org/wiki/Q5227269","display_name":"Data cube","level":2,"score":0.8316108584403992},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6983495354652405},{"id":"https://openalex.org/C53051483","wikidata":"https://www.wikidata.org/wiki/Q861555","display_name":"Cube (algebra)","level":2,"score":0.6788105964660645},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6751654148101807},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5817735195159912},{"id":"https://openalex.org/C3115412","wikidata":"https://www.wikidata.org/wiki/Q1194708","display_name":"Bitmap","level":2,"score":0.548025369644165},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5335270762443542},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5255780816078186},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.513969361782074},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46091440320014954},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42146021127700806},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4108425974845886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1843927502632141},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13291025161743164},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.09656289219856262},{"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3164541.3164585","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3164541.3164585","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1514498087","https://openalex.org/W1569878055","https://openalex.org/W1601477305","https://openalex.org/W1660390307","https://openalex.org/W1982945449","https://openalex.org/W2049859567","https://openalex.org/W2092103580","https://openalex.org/W2097798413","https://openalex.org/W2103201239","https://openalex.org/W2136470918","https://openalex.org/W2150950420","https://openalex.org/W2295596515","https://openalex.org/W2586711596"],"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/W1518802638","https://openalex.org/W1578257433","https://openalex.org/W2026863370"],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,46,60,85,116,119,136,139,148],"high-dimensional":[3,33],"and":[4,80,106,144],"non-hierarchical":[5],"large":[6],"data":[7,34,40,55,63,138,143],"sets,":[8],"an":[9],"improved":[10],"CFSC":[11],"(Closed":[12],"Frag-Shells":[13,21],"Cube)":[14],"method":[15,22,129],"is":[16,30,35,75,88,125],"proposed":[17],"based":[18],"on":[19,113],"the":[20,27,32,44,57,68,98,103,109,114,133,146],"in":[23],"this":[24,128],"paper.":[25],"When":[26],"Data":[28],"Cube":[29],"generated,":[31],"divided":[36],"into":[37,49],"several":[38],"low-dimensional":[39],"fragments":[41],"by":[42,90,102],"using":[43,67,91],"idea":[45],"partitioning":[47],"cubes":[48,59],"dimension":[50,54,62],"attributes.":[51],"For":[52],"each":[53,61,78],"segment,":[56],"closed":[58,69,86],"segment":[64],"are":[65],"calculated":[66],"cube":[70,137],"calculation.":[71],"A":[72],"query":[73,82,110],"bitmap":[74],"added":[76],"to":[77,96,107],"fragment,":[79],"a":[81],"index":[83,94],"table":[84],"segments":[87],"constructed":[89],"bit":[92],"map":[93],"technology":[95],"reduce":[97,132],"storage":[99,134],"space":[100,135],"occupied":[101],"result":[104],"set":[105],"increase":[108],"efficiency.":[111],"Based":[112],"application":[115],"multidimensional":[117],"analysis":[118],"water":[120,140],"conservancy":[121,141],"census":[122,142],"data,":[123],"it":[124],"proved":[126],"that":[127],"can":[130],"effectively":[131],"improve":[145],"efficiency":[147],"OLAP":[149],"(online":[150],"analytical":[151],"processing)":[152],"query.":[153]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}