{"id":"https://openalex.org/W3048385902","doi":"https://doi.org/10.1142/s1793830922500240","title":"Sampling-based approximate skyline calculation on big data","display_name":"Sampling-based approximate skyline calculation on big data","publication_year":2021,"publication_date":"2021-11-06","ids":{"openalex":"https://openalex.org/W3048385902","doi":"https://doi.org/10.1142/s1793830922500240","mag":"3048385902"},"language":"en","primary_location":{"id":"doi:10.1142/s1793830922500240","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793830922500240","pdf_url":null,"source":{"id":"https://openalex.org/S178434951","display_name":"Discrete Mathematics Algorithms and Applications","issn_l":"1793-8309","issn":["1793-8309","1793-8317"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discrete Mathematics, Algorithms and Applications","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/A5062429859","display_name":"Xingxing Xiao","orcid":"https://orcid.org/0000-0003-3364-8471"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Xiao","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, Heilongjiang 150001, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-3364-8471","affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, Heilongjiang 150001, P. R. China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100387065","display_name":"Jianzhong Li","orcid":"https://orcid.org/0000-0002-4119-0571"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Li","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, Heilongjiang 150001, P. R. China","Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518000, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, Heilongjiang 150001, P. R. China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518000, P. R. China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.557,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.62830414,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"14","issue":"07","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.9830477237701416},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.7127514481544495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451089978218079},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5749919414520264},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5522029995918274},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4782535135746002},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3219679892063141},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.28552719950675964},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.11380454897880554}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9830477237701416},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.7127514481544495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451089978218079},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5749919414520264},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5522029995918274},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4782535135746002},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3219679892063141},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28552719950675964},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.11380454897880554},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s1793830922500240","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s1793830922500240","pdf_url":null,"source":{"id":"https://openalex.org/S178434951","display_name":"Discrete Mathematics Algorithms and Applications","issn_l":"1793-8309","issn":["1793-8309","1793-8317"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discrete Mathematics, Algorithms and Applications","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":35,"referenced_works":["https://openalex.org/W1092616133","https://openalex.org/W1517348552","https://openalex.org/W1580944449","https://openalex.org/W1875872827","https://openalex.org/W1968246336","https://openalex.org/W1972541019","https://openalex.org/W1981507127","https://openalex.org/W1986325821","https://openalex.org/W1992963068","https://openalex.org/W1999126028","https://openalex.org/W2005546755","https://openalex.org/W2014787129","https://openalex.org/W2049864887","https://openalex.org/W2081489756","https://openalex.org/W2096547754","https://openalex.org/W2116434582","https://openalex.org/W2121612399","https://openalex.org/W2129143099","https://openalex.org/W2134644026","https://openalex.org/W2140977160","https://openalex.org/W2146831356","https://openalex.org/W2170188482","https://openalex.org/W2320430675","https://openalex.org/W2402711162","https://openalex.org/W2564157749","https://openalex.org/W2605945093","https://openalex.org/W2763329850","https://openalex.org/W2949144621","https://openalex.org/W2979277919","https://openalex.org/W2993550482","https://openalex.org/W3090437903","https://openalex.org/W3094989159","https://openalex.org/W3106037342","https://openalex.org/W3120740533","https://openalex.org/W3136083256"],"related_works":["https://openalex.org/W1994126304","https://openalex.org/W2087306197","https://openalex.org/W1973297295","https://openalex.org/W2316530548","https://openalex.org/W2505069962","https://openalex.org/W3096764880","https://openalex.org/W2039842051","https://openalex.org/W2317048282","https://openalex.org/W102592377","https://openalex.org/W1580710993"],"abstract_inverted_index":{"Nowadays,":[0],"big":[1,18,164],"data":[2,19],"is":[3,25,40,73,112,122,180],"coming":[4],"to":[5,44,49,150],"the":[6,102,110,126,138,146,153,159,168,172,178,184],"force":[7],"in":[8,20,53,66,117,156],"a":[9,14,50,69,77,96],"lot":[10],"of":[11,109,145,161,171],"applications.":[12],"Processing":[13],"skyline":[15,51,90,104,140,186],"query":[16,52],"on":[17,105,163],"more":[21,74],"than":[22,76,183],"linear":[23,33,63],"time":[24,34,144],"by":[26,125],"far":[27],"too":[28,37],"expensive":[29],"and":[30,100,175],"often":[31],"even":[32],"may":[35,60],"be":[36],"slow.":[38],"It":[39],"obviously":[41],"not":[42,113],"possible":[43],"compute":[45],"an":[46,57,133],"exact":[47,58,79,139],"solution":[48,59,72],"sublinear":[54],"time,":[55],"since":[56],"itself":[61],"have":[62],"size.":[64,128],"Fortunately,":[65],"many":[67],"situations,":[68],"fast":[70],"approximate":[71,86,103],"useful":[75],"slower":[78],"solution.":[80],"This":[81],"paper":[82],"proposes":[83],"two":[84],"sampling-based":[85],"algorithms":[87],"for":[88,137],"processing":[89],"queries.":[91],"The":[92,107,129,142],"first":[93,173],"algorithm":[94,111,131,147],"obtains":[95],"fixed":[97],"size":[98,155],"sample":[99],"computes":[101],"it.":[106],"error":[108,169],"only":[114],"relatively":[115],"small":[116],"most":[118],"cases,":[119],"but":[120],"also":[121],"almost":[123],"unaffected":[124],"input":[127,154],"second":[130,179],"returns":[132],"[Formula:":[134],"see":[135],"text]-approximation":[136],"efficiently.":[141],"running":[143],"has":[148],"nothing":[149],"do":[151],"with":[152],"practical,":[157],"achieving":[158],"goal":[160],"sublinearity":[162],"data.":[165],"Experiments":[166],"verify":[167],"analysis":[170],"algorithm,":[174],"show":[176],"that":[177],"much":[181],"faster":[182],"existing":[185],"algorithms.":[187]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
