{"id":"https://openalex.org/W2895396175","doi":"https://doi.org/10.1080/08839514.2018.1519096","title":"Bi-Objective Optimization Method for Horizontal Fragmentation Problem in Relational Data Warehouses as a Linear Programming Problem","display_name":"Bi-Objective Optimization Method for Horizontal Fragmentation Problem in Relational Data Warehouses as a Linear Programming Problem","publication_year":2018,"publication_date":"2018-10-05","ids":{"openalex":"https://openalex.org/W2895396175","doi":"https://doi.org/10.1080/08839514.2018.1519096","mag":"2895396175"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2018.1519096","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2018.1519096","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5043053375","display_name":"Mohamed Barr","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149016","display_name":"\u00c9cole Nationale Sup\u00e9rieure d'Informatique","ror":"https://ror.org/04dj1dn66","country_code":"DZ","type":"education","lineage":["https://openalex.org/I4210149016"]}],"countries":["DZ"],"is_corresponding":true,"raw_author_name":"Mohamed Barr","raw_affiliation_strings":["\u00c9cole nationale Sup\u00e9rieure d\u2019Informatique (ESI), Alger, Alg\u00e9rie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u00c9cole nationale Sup\u00e9rieure d\u2019Informatique (ESI), Alger, Alg\u00e9rie","institution_ids":["https://openalex.org/I4210149016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019747586","display_name":"Kamel Boukhalfa","orcid":"https://orcid.org/0000-0002-9746-579X"},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Kamel Boukhalfa","raw_affiliation_strings":["Laboratoire (LSI), D\u00e9partement informatique, Universit\u00e9 des Sciences et de la Technologie Houari Boumediene (USTHB), Alger, Alg\u00e9rie"],"raw_orcid":"https://orcid.org/0000-0002-9746-579X","affiliations":[{"raw_affiliation_string":"Laboratoire (LSI), D\u00e9partement informatique, Universit\u00e9 des Sciences et de la Technologie Houari Boumediene (USTHB), Alger, Alg\u00e9rie","institution_ids":["https://openalex.org/I157169809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023597201","display_name":"Karima Bouibede","orcid":null},"institutions":[{"id":"https://openalex.org/I157169809","display_name":"University of Sciences and Technology Houari Boumediene","ror":"https://ror.org/02kb89c09","country_code":"DZ","type":"education","lineage":["https://openalex.org/I157169809"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Karima Bouibede","raw_affiliation_strings":["Facult\u00e9 d\u2019\u00e9lectronique et informatique, Universit\u00e9 des Sciences et de la Technologie Houari Boumediene (USTHB), Alger, Alg\u00e9rie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 d\u2019\u00e9lectronique et informatique, Universit\u00e9 des Sciences et de la Technologie Houari Boumediene (USTHB), Alger, Alg\u00e9rie","institution_ids":["https://openalex.org/I157169809"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5043053375"],"corresponding_institution_ids":["https://openalex.org/I4210149016"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":0.4298,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.666967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"32","issue":"9-10","first_page":"907","last_page":"923"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9934999942779541,"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/computer-science","display_name":"Computer science","score":0.8760849833488464},{"id":"https://openalex.org/keywords/fragmentation","display_name":"Fragmentation (computing)","score":0.6954541802406311},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5739923119544983},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.5324854254722595},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4962831139564514},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41587987542152405},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.31297773122787476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2244921326637268},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11860454082489014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07344919443130493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8760849833488464},{"id":"https://openalex.org/C191015642","wikidata":"https://www.wikidata.org/wiki/Q1132459","display_name":"Fragmentation (computing)","level":2,"score":0.6954541802406311},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5739923119544983},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.5324854254722595},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4962831139564514},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41587987542152405},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31297773122787476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2244921326637268},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11860454082489014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07344919443130493}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2018.1519096","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2018.1519096","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:388474f4de2a4a3cb9ef31e7bf8215d2","is_oa":false,"landing_page_url":"https://doaj.org/article/388474f4de2a4a3cb9ef31e7bf8215d2","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":"Applied Artificial Intelligence, Vol 32, Iss 9-10, Pp 907-923 (2018)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1502629466","https://openalex.org/W1976089940","https://openalex.org/W1982525351","https://openalex.org/W2010149731","https://openalex.org/W2091991184","https://openalex.org/W2167445883","https://openalex.org/W2241305028","https://openalex.org/W2328242858","https://openalex.org/W4322716563"],"related_works":["https://openalex.org/W2373884155","https://openalex.org/W4200307027","https://openalex.org/W2531755459","https://openalex.org/W6138692","https://openalex.org/W3167309973","https://openalex.org/W1997209091","https://openalex.org/W2359411520","https://openalex.org/W2003827594","https://openalex.org/W1535822977","https://openalex.org/W2384867819"],"abstract_inverted_index":{"In":[0,102,151],"this":[1],"work,":[2,157],"we":[3,76,115,158],"relied":[4],"on":[5,85],"a":[6,16,99,165],"particular":[7],"exact":[8],"method":[9,25,61],"to":[10,89,98,104,129,139,145,153,167],"solve":[11],"NP-Hard":[12],"problem":[13,110,118],"of":[14,29,41,48,70,87,111,126,136,148],"determining":[15],"horizontal":[17,112],"fragmentation":[18,113],"scheme":[19],"in":[20,54,119],"relational":[21],"data":[22],"warehouses.":[23],"The":[24],"used":[26,77,159],"is":[27,33,83],"that":[28,44,50],"linear":[30,55,100],"programming":[31],"which":[32,82],"distinguished":[34],"by":[35,38,164],"other":[36],"methods":[37,43],"the":[39,46,59,63,68,71,108,117,124,131,141,146,160],"existence":[40],"practical":[42],"facilitate":[45],"resolution":[47],"problems":[49],"may":[51],"be":[52],"described":[53],"form.":[56],"We":[57],"quote":[58],"Simplex":[60],"and":[62,74,91,106,134],"interior":[64],"points.":[65],"To":[66],"meet":[67],"linearity":[69],"objective":[72],"function":[73],"constraints,":[75],"initially":[78],"\u201cDe":[79],"Morgan\u201d":[80],"theorem,":[81],"based":[84],"properties":[86],"sets":[88],"transform":[90],"optimize":[92],"decision":[93],"queries,":[94],"from":[95],"any":[96],"form":[97],"one.":[101],"addition":[103],"designing":[105],"solving":[107],"selection":[109],"technique,":[114],"considered":[116],"two":[120],"simultaneous":[121],"objectives,":[122],"namely:":[123],"number":[125,135],"Inputs/Outputs":[127],"needed":[128],"run":[130],"global":[132],"workload,":[133,166],"fragments":[137],"generated":[138],"identify":[140],"best":[142],"solutions":[143],"compared":[144],"concept":[147],"Pareto":[149],"dominance.":[150],"addition,":[152],"carry":[154],"out":[155],"our":[156],"Benchmark":[161],"APB1":[162],"invoked":[163],"achieve":[168],"satisfactory":[169],"results.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}