{"id":"https://openalex.org/W4304142366","doi":"https://doi.org/10.1109/apwcs55727.2022.9906502","title":"An Effective Pruning Scheme for Top-k Dominating Query Processing on Uncertain Data Streams","display_name":"An Effective Pruning Scheme for Top-k Dominating Query Processing on Uncertain Data Streams","publication_year":2022,"publication_date":"2022-08-24","ids":{"openalex":"https://openalex.org/W4304142366","doi":"https://doi.org/10.1109/apwcs55727.2022.9906502"},"language":"en","primary_location":{"id":"doi:10.1109/apwcs55727.2022.9906502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apwcs55727.2022.9906502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","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/A5082920277","display_name":"Chuan-Chi Lai","orcid":"https://orcid.org/0000-0003-4919-4152"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Chi Lai","raw_affiliation_strings":["Feng Chia University,Deptartment of Information Engineering and Computer Science,Taichung,Taiwan","Deptartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University,Deptartment of Information Engineering and Computer Science,Taichung,Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"Deptartment of Information Engineering and Computer Science, Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084492942","display_name":"Chih-Cheng Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Cheng Fan","raw_affiliation_strings":["National Taipei University of Technology,Deptartment of Computer Science and Information Engineering,Taipei,Taiwan","Deptartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Deptartment of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Deptartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008534258","display_name":"Chuan-Ming Liu","orcid":"https://orcid.org/0000-0001-9005-5715"},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Ming Liu","raw_affiliation_strings":["National Taipei University of Technology,Deptartment of Computer Science and Information Engineering,Taipei,Taiwan","Deptartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taipei University of Technology,Deptartment of Computer Science and Information Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Deptartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5537,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62288544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9940000176429749,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9872999787330627,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8514044284820557},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6882214546203613},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6855844855308533},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.6736262440681458},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6610438823699951},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5651194453239441},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.5284894704818726},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5213640928268433},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5099362134933472},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43829795718193054},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.43273866176605225},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.41769614815711975},{"id":"https://openalex.org/keywords/low-latency","display_name":"Low latency (capital markets)","score":0.41436856985092163},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.41147664189338684},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3675624430179596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1821642518043518},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1575256586074829}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514044284820557},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6882214546203613},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6855844855308533},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.6736262440681458},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6610438823699951},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5651194453239441},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.5284894704818726},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5213640928268433},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5099362134933472},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43829795718193054},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.43273866176605225},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.41769614815711975},{"id":"https://openalex.org/C46637626","wikidata":"https://www.wikidata.org/wiki/Q6693015","display_name":"Low latency (capital markets)","level":2,"score":0.41436856985092163},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.41147664189338684},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3675624430179596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1821642518043518},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1575256586074829},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apwcs55727.2022.9906502","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apwcs55727.2022.9906502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W163398234","https://openalex.org/W1994290541","https://openalex.org/W2027675779","https://openalex.org/W2038642953","https://openalex.org/W2168790351","https://openalex.org/W2282253514","https://openalex.org/W2783433042","https://openalex.org/W2947551308","https://openalex.org/W6684865621"],"related_works":["https://openalex.org/W1995430839","https://openalex.org/W2356691358","https://openalex.org/W123931831","https://openalex.org/W2005454484","https://openalex.org/W1980376570","https://openalex.org/W2001734931","https://openalex.org/W2084242067","https://openalex.org/W2129553531","https://openalex.org/W4281678247","https://openalex.org/W4304142366"],"abstract_inverted_index":{"In":[0,31,93],"the":[1,19,37,54,59,62,78,111,139,151],"modern":[2],"age":[3],"of":[4,13,39,41,53,61,80,117,123,133,141,146],"information":[5,22],"explosion,":[6],"everyone":[7],"can":[8,154,166],"easily":[9],"obtain":[10],"all":[11],"kinds":[12],"data,":[14],"so":[15],"how":[16],"to":[17,105,109,137,171],"find":[18],"most":[20,33],"valuable":[21],"in":[23,88],"massive":[24],"data":[25,34,55,64,82],"has":[26],"become":[27,44],"an":[28,106],"important":[29],"issue.":[30],"general,":[32],"collected":[35],"from":[36],"applications":[38],"Internet":[40],"Things":[42],"(IoT)":[43],"uncertain":[45,63,81,118],"since":[46],"there":[47],"is":[48,56,127,136],"a":[49,76,85,98,161],"probability":[50],"or":[51],"part":[52],"missing.":[57],"However,":[58],"calculation":[60],"will":[65],"be":[66,167],"much":[67],"more":[68],"complicated":[69],"than":[70],"certain":[71],"(or":[72],"deterministic)":[73],"data.":[74,119],"As":[75],"result,":[77],"performance":[79,165],"handling":[83],"becomes":[84],"significant":[86],"challenge":[87],"meeting":[89],"low":[90],"latency":[91,122,157],"requirements.":[92],"this":[94,134],"work,":[95],"we":[96],"propose":[97],"distributed":[99],"computing":[100,108],"algorithm":[101,153],"and":[102],"apply":[103],"it":[104],"edge":[107],"calculate":[110],"probabilistic":[112],"top-k":[113],"dominating":[114],"(PTKD)":[115],"objects":[116],"The":[120,130],"overall":[121],"PTKD":[124],"query":[125],"processing":[126],"significantly":[128],"reduced.":[129],"main":[131],"idea":[132],"method":[135],"reduce":[138],"cost":[140],"time":[142],"without":[143],"unnecessary":[144],"calculations":[145],"objects.":[147],"Experiments":[148],"show":[149],"that":[150],"proposed":[152],"improve":[155],"58%":[156],"on":[158],"average.":[159],"With":[160],"high":[162],"pruning":[163],"rate,":[164],"reduced":[168],"by":[169],"up":[170],"92%.":[172]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
