{"id":"https://openalex.org/W2562678132","doi":"https://doi.org/10.1109/ccis.2016.7790279","title":"A hybrid index for multi-dimensional query in HBase","display_name":"A hybrid index for multi-dimensional query in HBase","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2562678132","doi":"https://doi.org/10.1109/ccis.2016.7790279","mag":"2562678132"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2016.7790279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5085988273","display_name":"Xiaosheng Tang","orcid":"https://orcid.org/0000-0003-4402-391X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaosheng Tang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002748026","display_name":"Boda Han","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boda Han","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100325128","display_name":"Han Chen","orcid":"https://orcid.org/0000-0002-8602-0779"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"332","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9941999912261963,"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":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.8445090055465698},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.6283227801322937},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5923338532447815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5645003318786621},{"id":"https://openalex.org/keywords/interleaving","display_name":"Interleaving","score":0.48263344168663025},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4802413582801819},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4694708585739136},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.46642833948135376},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.46488046646118164},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.4535631835460663},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43238377571105957},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36401045322418213},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.194366455078125},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.16540846228599548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8445090055465698},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.6283227801322937},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5923338532447815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5645003318786621},{"id":"https://openalex.org/C28034677","wikidata":"https://www.wikidata.org/wiki/Q17092530","display_name":"Interleaving","level":2,"score":0.48263344168663025},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4802413582801819},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4694708585739136},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.46642833948135376},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.46488046646118164},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.4535631835460663},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43238377571105957},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36401045322418213},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.194366455078125},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.16540846228599548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2016.7790279","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790279","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","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":11,"referenced_works":["https://openalex.org/W2008196645","https://openalex.org/W2044105912","https://openalex.org/W2060422862","https://openalex.org/W2071188048","https://openalex.org/W2131620262","https://openalex.org/W2133542527","https://openalex.org/W2151135734","https://openalex.org/W2155776210","https://openalex.org/W2769954494","https://openalex.org/W3012615620","https://openalex.org/W4300789689"],"related_works":["https://openalex.org/W2006459955","https://openalex.org/W2955368753","https://openalex.org/W3125756434","https://openalex.org/W2184296057","https://openalex.org/W2349153818","https://openalex.org/W2118790811","https://openalex.org/W2347809727","https://openalex.org/W2382756238","https://openalex.org/W2385851311","https://openalex.org/W2180896803"],"abstract_inverted_index":{"With":[0],"the":[1,26,31,43,83,87,92,100,112,123,132,147,164],"explosive":[2],"growth":[3],"of":[4,28,61,116,134,161],"data,":[5],"distributed":[6],"databases":[7],"are":[8],"widely":[9],"used":[10],"in":[11,75,119],"various":[12],"applications,":[13],"including":[14],"e-commerce,":[15],"social":[16],"networking,":[17],"recommendation":[18],"system,":[19],"location-based":[20],"service":[21],"and":[22,42,58,141,152,169],"etc.":[23],"Among":[24],"them,":[25],"use":[27,86],"HBase":[29,49,76,151],"is":[30],"most":[32],"common.":[33],"However,":[34],"it":[35],"does":[36],"not":[37],"natively":[38],"support":[39],"multi-dimensional":[40,45,73,93,138],"query":[41,74,168],"existing":[44],"index":[46,71,118,130,148,165,172],"established":[47],"on":[48,150,156],"has":[50],"some":[51,154],"disadvantages":[52],"such":[53],"as":[54],"unsupporting":[55],"floating-point":[56,135],"numbers":[57],"low":[59],"efficiency":[60],"range":[62,142,167],"query.":[63,143],"In":[64],"this":[65],"paper,":[66],"we":[67,85,98,109,145],"propose":[68],"a":[69],"hybrid":[70],"for":[72],"to":[77,90,104,111],"address":[78],"these":[79],"issues.":[80],"To":[81],"build":[82],"index,":[84],"z-ordering":[88,124],"curve":[89,125],"divide":[91],"space":[94],"into":[95],"grids,":[96],"then":[97],"adopt":[99],"bit":[101],"interleaving":[102],"technique":[103],"generate":[105],"GridID,":[106],"after":[107],"that":[108],"refer":[110],"coding":[113],"generation":[114],"method":[115],"Pyramid":[117],"each":[120],"grid.":[121],"Combining":[122],"with":[126],"pyramid":[127],"technology,":[128],"our":[129],"supports":[131],"operation":[133],"numbers,":[136],"efficient":[137],"data":[139],"processing":[140],"Besides,":[144],"implement":[146],"structure":[149],"run":[153],"experiments":[155,162],"real":[157],"data.":[158],"The":[159],"results":[160],"show":[163],"achieves":[166],"outperforms":[170],"other":[171],"structures.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}