{"id":"https://openalex.org/W4405198947","doi":"https://doi.org/10.1007/s41019-024-00259-6","title":"Computing Prominent Skyline on Massive Data","display_name":"Computing Prominent Skyline on Massive Data","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4405198947","doi":"https://doi.org/10.1007/s41019-024-00259-6"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-024-00259-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00259-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00259-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00259-6.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085267247","display_name":"Xiaolong Wan","orcid":"https://orcid.org/0000-0003-4502-085X"},"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":"Xiaolong Wan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006689000","display_name":"Xixian Han","orcid":"https://orcid.org/0000-0001-5477-9249"},"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":true,"raw_author_name":"Xixian Han","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China"],"raw_orcid":"https://orcid.org/0000-0001-5477-9249","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044022943","display_name":"Jinbao Wang","orcid":"https://orcid.org/0000-0003-1430-3179"},"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":"Jinbao Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No. 92, Xidazhi Street, Harbin, Heilongjiang, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006689000"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":{"value":1290,"currency":"USD","value_usd":1290},"apc_paid":{"value":1290,"currency":"USD","value_usd":1290},"fwci":0.6451,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66752075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"10","issue":"1","first_page":"117","last_page":"146"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9805999994277954,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/skyline","display_name":"Skyline","score":0.9920944571495056},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8392070531845093},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.6734893321990967},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.513827383518219},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5047467947006226},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4695501923561096},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4680471122264862},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.46321114897727966},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4350535273551941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3161391615867615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0959634780883789},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08573397994041443}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9920944571495056},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392070531845093},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.6734893321990967},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.513827383518219},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5047467947006226},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4695501923561096},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4680471122264862},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.46321114897727966},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4350535273551941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3161391615867615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0959634780883789},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08573397994041443},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s41019-024-00259-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00259-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00259-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:db9819b69dff4212acd6996962aec730","is_oa":false,"landing_page_url":"https://doaj.org/article/db9819b69dff4212acd6996962aec730","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Science and Engineering, Vol 10, Iss 1, Pp 117-146 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s41019-024-00259-6","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-024-00259-6","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-024-00259-6.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1083341597","display_name":null,"funder_award_id":"U21A20513","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G614052308","display_name":null,"funder_award_id":"ZR2023MF101","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G7692338205","display_name":null,"funder_award_id":"ZR2023QF059","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405198947.pdf"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1256248941","https://openalex.org/W1875872827","https://openalex.org/W1965745537","https://openalex.org/W1986325821","https://openalex.org/W1999334496","https://openalex.org/W2004796840","https://openalex.org/W2005546755","https://openalex.org/W2026427926","https://openalex.org/W2046557563","https://openalex.org/W2067092194","https://openalex.org/W2104322506","https://openalex.org/W2113295349","https://openalex.org/W2116396741","https://openalex.org/W2116434582","https://openalex.org/W2126431245","https://openalex.org/W2129143099","https://openalex.org/W2134644026","https://openalex.org/W2146831356","https://openalex.org/W2153516800","https://openalex.org/W2329095262","https://openalex.org/W2889131711","https://openalex.org/W2904625095","https://openalex.org/W2921445573","https://openalex.org/W3174744361","https://openalex.org/W4312348019","https://openalex.org/W4312442313","https://openalex.org/W4313487624"],"related_works":["https://openalex.org/W2904625095","https://openalex.org/W2030931773","https://openalex.org/W259531752","https://openalex.org/W2967037545","https://openalex.org/W2098338547","https://openalex.org/W1566588000","https://openalex.org/W2003263112","https://openalex.org/W2017776027","https://openalex.org/W2163693507","https://openalex.org/W3111181114"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"many":[2,32],"practical":[3],"applications,":[4],"skyline":[5,28,71],"query":[6],"is":[7,87,114,131],"an":[8],"important":[9],"operation":[10],"to":[11,42,53,91,109,153],"return":[12],"the":[13,23,34,44,55,58,62,69,74,80,88,111,143],"pareto":[14],"optimal":[15],"tuples,":[16],"which":[17,103,133],"provides":[18],"a":[19,100,120],"candidate":[20,138],"set":[21],"for":[22],"optimum.":[24],"On":[25,142],"massive":[26,126,184],"data,":[27],"often":[29],"reports":[30],"too":[31],"results,":[33,168],"users":[35],"will":[36],"be":[37,40],"overwhelmed":[38],"and":[39,140,150,162,172],"difficult":[41],"find":[43],"desired":[45],"information":[46],"easily.":[47],"This":[48,96],"paper":[49,86,97],"devises":[50],"P":[51,65,93,155,181],"-skyline":[52,66,94,156,182],"reduce":[54],"size":[56],"of":[57,76,82,135],"returned":[59],"results.":[60,112],"Given":[61],"approximation":[63],"factor,":[64],"only":[67],"generates":[68],"prominent":[70],"results":[72],"by":[73],"definition":[75],"p":[77],"-dominance.":[78],"To":[79],"best":[81],"our":[83],"knowledge,":[84],"this":[85],"first":[89,98],"work":[90],"study":[92],"problem.":[95],"proposes":[99],"baseline":[101,117],"algorithm,":[102],"requires":[104],"one":[105],"full":[106],"table":[107],"scan":[108],"compute":[110,180],"It":[113],"found":[115],"that":[116,177],"algorithm":[118,130],"incurs":[119],"relatively":[121],"high":[122],"execution":[123],"cost":[124,161],"on":[125,170,183],"data.":[127],"Then,":[128],"PSTP":[129,146,178],"proposed,":[132],"consists":[134],"two":[136],"stages:":[137],"acquisition":[139],"refinement.":[141],"presorted":[144],"table,":[145],"utilizes":[147],"selective":[148,151],"retrieval":[149],"checking":[152],"process":[154],"with":[157],"much":[158],"lower":[159],"I/O":[160],"computation":[163],"cost.":[164],"The":[165],"extensive":[166],"experimental":[167],"conducted":[169],"synthetic":[171],"real-life":[173],"data":[174,185],"sets,":[175],"show":[176],"can":[179],"efficiently.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}