{"id":"https://openalex.org/W2012200581","doi":"https://doi.org/10.1109/dbkda.2010.1","title":"Comparison of Different Solutions for Solving the Optimization Problem of Large Join Queries","display_name":"Comparison of Different Solutions for Solving the Optimization Problem of Large Join Queries","publication_year":2010,"publication_date":"2010-04-01","ids":{"openalex":"https://openalex.org/W2012200581","doi":"https://doi.org/10.1109/dbkda.2010.1","mag":"2012200581"},"language":"en","primary_location":{"id":"doi:10.1109/dbkda.2010.1","doi":"https://doi.org/10.1109/dbkda.2010.1","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbkda.2010.1","pdf_url":null,"source":{"id":"https://openalex.org/S4306418154","display_name":"Databases, Knowledge, and Data Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2012200581"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5002658946","display_name":"Du\u0161an Petkovi\u0107","orcid":"https://orcid.org/0000-0002-5188-2811","observed_orcids":["https://orcid.org/0000-0002-5188-2811"]},"institutions":[{"id":"https://openalex.org/I4210142109","display_name":"Rosenheim Technical University of Applied Sciences","ror":"https://ror.org/03hbmgt12","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210142109"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dusan Petkovic","raw_affiliation_strings":["University of Applied Sciences, Rosenheim, Germany","Univ. of Appl. Sci., Rosenheim, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Applied Sciences, Rosenheim, Germany","institution_ids":["https://openalex.org/I4210142109"]},{"raw_affiliation_string":"Univ. of Appl. Sci., Rosenheim, Germany","institution_ids":["https://openalex.org/I4210142109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5002658946"],"corresponding_institution_ids":["https://openalex.org/I4210142109"],"apc_list":null,"apc_paid":null,"fwci":0.5929,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.62469842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":93},"biblio":{"volume":"6","issue":null,"first_page":"51","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9833999872207642,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9833999872207642,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11106","display_name":"Data Management and Algorithms","score":0.0017999999690800905,"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/query-optimization","display_name":"query optimization","score":0.8579999804496765},{"id":"https://openalex.org/keywords/join-ordering","display_name":"join ordering","score":0.7400000095367432},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"genetic algorithm","score":0.9980000257492065},{"id":"https://openalex.org/keywords/postgresql","display_name":"PostgreSQL","score":0.7429999709129333},{"id":"https://openalex.org/keywords/exhaustive-search","display_name":"exhaustive search","score":0.7229999899864197},{"id":"https://openalex.org/keywords/database-optimization","display_name":"database optimization","score":0.4970000088214874}],"concepts":[{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.8845268487930298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818676233291626},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.6857004165649414},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6688246726989746},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6369985938072205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48411524295806885},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45237645506858826},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.352527379989624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32776182889938354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12266594171524048},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11673134565353394},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbkda.2010.1","doi":"https://doi.org/10.1109/dbkda.2010.1","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbkda.2010.1","pdf_url":null,"source":{"id":"https://openalex.org/S4306418154","display_name":"Databases, Knowledge, and Data Applications","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W107179648","https://openalex.org/W304606221","https://openalex.org/W1565737841","https://openalex.org/W1602187078","https://openalex.org/W1978220611","https://openalex.org/W2079329679","https://openalex.org/W2081579241","https://openalex.org/W2152150600","https://openalex.org/W2153329411","https://openalex.org/W2293896416","https://openalex.org/W2573011162","https://openalex.org/W4232672600","https://openalex.org/W4238121600","https://openalex.org/W4244215662"],"related_works":["https://openalex.org/W2113493270","https://openalex.org/W2547426886","https://openalex.org/W1582882762","https://openalex.org/W2027837929","https://openalex.org/W2551934046","https://openalex.org/W1597709575","https://openalex.org/W2985730042","https://openalex.org/W2393804888","https://openalex.org/W2366566255","https://openalex.org/W2985137643"],"abstract_inverted_index":{"The":[0],"article":[1],"explores":[2],"the":[3,14,37,55,64,72,84,102,109],"optimization":[4,17,95,112],"of":[5,39,86,96,104],"queries":[6,115],"using":[7],"genetic":[8,49,78,88],"algorithms":[9,20],"and":[10],"compares":[11],"it":[12],"with":[13,71,116],"conventional":[15,65,110],"query":[16,111],"component.":[18],"Genetic":[19],"(GAs),":[21],"as":[22],"a":[23,32,48,77,87,91,106],"data":[24],"mining":[25],"technique,":[26],"have":[27],"been":[28,52],"shown":[29],"to":[30],"be":[31],"promising":[33],"technique":[34],"in":[35,42,54],"solving":[36],"ordering":[38],"join":[40,44,98,120],"operations":[41,121],"large":[43,97],"queries.":[45],"In":[46],"practice,":[47],"algorithm":[50,89],"has":[51],"implemented":[53],"PostgreSQL":[56],"database":[57],"system.":[58],"Using":[59],"this":[60],"implementation,":[61],"we":[62],"compare":[63],"component":[66,113],"for":[67,94,114],"an":[68],"exhaustive":[69],"search":[70],"corresponding":[73],"module":[74,107],"based":[75],"on":[76],"algorithm.":[79],"Our":[80],"results":[81],"show":[82],"that":[83,101],"use":[85,103],"is":[90],"viable":[92],"solution":[93],"queries,":[99],"i.e.,":[100],"such":[105],"outperforms":[108],"more":[117],"than":[118],"12":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}