{"id":"https://openalex.org/W1988842499","doi":"https://doi.org/10.1109/iceee.2011.6106682","title":"A support-based vertical partitioning method for database design","display_name":"A support-based vertical partitioning method for database design","publication_year":2011,"publication_date":"2011-10-01","ids":{"openalex":"https://openalex.org/W1988842499","doi":"https://doi.org/10.1109/iceee.2011.6106682","mag":"1988842499"},"language":"en","primary_location":{"id":"doi:10.1109/iceee.2011.6106682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2011.6106682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control","raw_type":"proceedings-article"},"type":"article","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/A5042620180","display_name":"Lisbeth Rodr\u00edguez","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Lisbeth Rodriguez","raw_affiliation_strings":["Department of Computer Science, CINVESTAV-IPN, Mexico, Distrito Federal, Mexico","Department of Computer Science, CINVESTAV-IPN, Mexico, D.F., Mexico"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, Mexico, Distrito Federal, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, Mexico, D.F., Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683740","display_name":"Xiaoou Li","orcid":"https://orcid.org/0000-0003-3087-7375"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Xiaoou Li","raw_affiliation_strings":["Department of Computer Science, CINVESTAV-IPN, Mexico, Distrito Federal, Mexico","Department of Computer Science, CINVESTAV-IPN, Mexico, D.F., Mexico"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, Mexico, Distrito Federal, Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Department of Computer Science, CINVESTAV-IPN, Mexico, D.F., Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042620180"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":1.4779,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.8735924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9998999834060669,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9976000189781189,"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/T11106","display_name":"Data Management and Algorithms","score":0.995199978351593,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6882333755493164},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.6838907599449158},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6521072387695312},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6205324530601501},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.593016505241394},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4662182927131653},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.42249277234077454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1426863968372345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6882333755493164},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.6838907599449158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6521072387695312},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6205324530601501},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.593016505241394},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4662182927131653},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.42249277234077454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1426863968372345},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceee.2011.6106682","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2011.6106682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W203355751","https://openalex.org/W1484413656","https://openalex.org/W1502629466","https://openalex.org/W1565760524","https://openalex.org/W1604021722","https://openalex.org/W1963606846","https://openalex.org/W1996138387","https://openalex.org/W2020396904","https://openalex.org/W2039795745","https://openalex.org/W2066598530","https://openalex.org/W2086865279","https://openalex.org/W2118979144","https://openalex.org/W2126007264","https://openalex.org/W2153028052","https://openalex.org/W4242048986","https://openalex.org/W4247530313","https://openalex.org/W6608082105","https://openalex.org/W6628750762"],"related_works":["https://openalex.org/W128746893","https://openalex.org/W2367573304","https://openalex.org/W2537030075","https://openalex.org/W2006971496","https://openalex.org/W2065998343","https://openalex.org/W2369717039","https://openalex.org/W2384676159","https://openalex.org/W2982449560","https://openalex.org/W2086429535","https://openalex.org/W2110683262"],"abstract_inverted_index":{"In":[0,29],"association":[1,9],"rule":[2],"mining,":[3],"support":[4],"is":[5,40],"a":[6,34],"measure":[7],"of":[8,13,20,27,61],"between":[10],"two":[11],"sets":[12,22],"items,":[14],"which":[15],"indicates":[16],"the":[17,24,59,62],"relative":[18],"occurrence":[19],"both":[21],"within":[23],"overall":[25],"set":[26],"transactions.":[28],"this":[30],"paper,":[31],"we":[32],"propose":[33],"support-based":[35],"vertical":[36,49],"partitioning":[37,50],"method":[38],"that":[39],"easy":[41],"to":[42,57],"implement":[43],"and":[44],"can":[45],"find":[46],"an":[47],"optimal":[48],"scheme.":[51],"We":[52],"present":[53],"several":[54],"experimental":[55],"results":[56],"clarify":[58],"validness":[60],"proposed":[63],"method.":[64]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}