{"id":"https://openalex.org/W4396845238","doi":"https://doi.org/10.1186/s40537-024-00923-8","title":"Skyline query under multidimensional incomplete data based on classification tree","display_name":"Skyline query under multidimensional incomplete data based on classification tree","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396845238","doi":"https://doi.org/10.1186/s40537-024-00923-8"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-00923-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00923-8","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00923-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"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":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00923-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102103354","display_name":"Dengke Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dengke Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721043","display_name":"Liping Zhang","orcid":"https://orcid.org/0000-0003-2463-1846"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liping Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101575549","display_name":"Song Li","orcid":"https://orcid.org/0000-0003-4456-2040"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003433241","display_name":"Guanglu Sun","orcid":"https://orcid.org/0000-0003-2589-1164"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanglu Sun","raw_affiliation_strings":["School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102103354"],"corresponding_institution_ids":["https://openalex.org/I100188998"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":1.2538,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7802781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"1","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":0.9998000264167786,"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":0.9998000264167786,"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":0.9908000230789185,"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":0.9817000031471252,"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":0.9144082069396973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8805436491966248},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5249041318893433},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.493613600730896},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.4731277823448181},{"id":"https://openalex.org/keywords/k-d-tree","display_name":"k-d tree","score":0.4252110421657562},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4133487939834595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2790379524230957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10597077012062073},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08583581447601318}],"concepts":[{"id":"https://openalex.org/C2780757406","wikidata":"https://www.wikidata.org/wiki/Q465837","display_name":"Skyline","level":2,"score":0.9144082069396973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8805436491966248},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5249041318893433},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.493613600730896},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.4731277823448181},{"id":"https://openalex.org/C33721204","wikidata":"https://www.wikidata.org/wiki/Q309949","display_name":"k-d tree","level":3,"score":0.4252110421657562},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4133487939834595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2790379524230957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10597077012062073},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08583581447601318},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-00923-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00923-8","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00923-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"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":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:6b554fdaf779474cbbb6a2a5563970bc","is_oa":true,"landing_page_url":"https://doaj.org/article/6b554fdaf779474cbbb6a2a5563970bc","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-24 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-00923-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-024-00923-8","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-024-00923-8","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"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":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396845238.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W16191149","https://openalex.org/W1044176408","https://openalex.org/W2118942653","https://openalex.org/W2514241049","https://openalex.org/W2767902125","https://openalex.org/W2888849524","https://openalex.org/W2900153758","https://openalex.org/W2921445573","https://openalex.org/W2922232207","https://openalex.org/W2980205823","https://openalex.org/W2980577032","https://openalex.org/W3013143320","https://openalex.org/W3033564061","https://openalex.org/W3090476523","https://openalex.org/W3091420913","https://openalex.org/W3097214897","https://openalex.org/W3154734969","https://openalex.org/W3163837266","https://openalex.org/W3171020656","https://openalex.org/W3175310833","https://openalex.org/W3194803589","https://openalex.org/W4200487108","https://openalex.org/W4210741759","https://openalex.org/W4225908445","https://openalex.org/W4285154716","https://openalex.org/W4285243027","https://openalex.org/W4366783075","https://openalex.org/W4388792883","https://openalex.org/W4388950900"],"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/W3094976685","https://openalex.org/W2054023447","https://openalex.org/W3127410434","https://openalex.org/W2107401307","https://openalex.org/W4390577842"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"method":[2,47,157],"for":[3,98,113,144,162],"skyline":[4,31,110,160],"query":[5,41,111,142,169],"of":[6,22,26,49,102,119,131,133,137,173],"multidimensional":[7,34,114,163],"incomplete":[8,35,59,70,79,115,145,164],"data":[9,28,60,71,80,88,165],"based":[10],"on":[11],"a":[12,23,109,134],"classification":[13,62,73],"tree":[14,63,74],"has":[15,123],"been":[16,124],"proposed":[17,58,156],"to":[18,39],"address":[19],"the":[20,57,66,78,91,96,99,103,129,141,155,174],"problem":[21],"large":[24,135],"amount":[25,136],"useless":[27],"in":[29,90],"existing":[30],"queries":[32,161],"with":[33,167],"data,":[36,138],"which":[37],"leads":[38],"low":[40],"efficiency":[42,143,170],"and":[43,77,149,171],"algorithm":[44,112],"performance.":[45],"This":[46],"consists":[48],"two":[50],"main":[51],"parts.":[52],"The":[53,87,105,117],"first":[54,67,92],"part":[55,93,107],"is":[56,75,82],"weighted":[61,72],"algorithm.":[64,175],"In":[65],"part,":[68],"an":[69],"proposed,":[76],"set":[81],"classified":[83,89],"using":[84],"this":[85],"tree.":[86],"serves":[94],"as":[95],"basis":[97],"second":[100,106],"step":[101],"query.":[104],"proposes":[108],"data.":[116,146],"concept":[118],"optimal":[120],"virtual":[121],"points":[122],"recently":[125],"introduced,":[126],"effectively":[127],"reducing":[128],"number":[130],"comparisons":[132],"thereby":[139],"improving":[140],"Theoretical":[147],"research":[148],"experimental":[150],"analysis":[151],"have":[152],"shown":[153],"that":[154],"can":[158],"perform":[159],"well,":[166],"high":[168],"accuracy":[172]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}