{"id":"https://openalex.org/W2123533420","doi":"https://doi.org/10.1109/icde.1987.7272421","title":"A statistical interface for historical relational databases","display_name":"A statistical interface for historical relational databases","publication_year":1987,"publication_date":"1987-02-01","ids":{"openalex":"https://openalex.org/W2123533420","doi":"https://doi.org/10.1109/icde.1987.7272421","mag":"2123533420"},"language":"en","primary_location":{"id":"doi:10.1109/icde.1987.7272421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.1987.7272421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1987 IEEE Third International Conference on Data Engineering","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/A5110911789","display_name":"Abdullah Uz Tansel","orcid":null},"institutions":[{"id":"https://openalex.org/I141810926","display_name":"Baruch College","ror":"https://ror.org/023qavy03","country_code":"US","type":"education","lineage":["https://openalex.org/I141810926"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"A. U. Tansel","raw_affiliation_strings":["Bernard M. Baruch College, City University of New York, 17 Lexington Avenue, Box 513, 10010, United States"],"affiliations":[{"raw_affiliation_string":"Bernard M. Baruch College, City University of New York, 17 Lexington Avenue, Box 513, 10010, United States","institution_ids":["https://openalex.org/I141810926"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110911789"],"corresponding_institution_ids":["https://openalex.org/I141810926"],"apc_list":null,"apc_paid":null,"fwci":2.8789,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.91044776,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"538","last_page":"546"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9959999918937683,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9771999716758728,"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":0.775315523147583},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.7365533113479614},{"id":"https://openalex.org/keywords/relational-algebra","display_name":"Relational algebra","score":0.6225926876068115},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6022950410842896},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5863012671470642},{"id":"https://openalex.org/keywords/relational-model","display_name":"Relational model","score":0.5700966715812683},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.48325639963150024},{"id":"https://openalex.org/keywords/enumeration","display_name":"Enumeration","score":0.4635220468044281},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4607497453689575},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4542359709739685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45392534136772156},{"id":"https://openalex.org/keywords/relational-calculus","display_name":"Relational calculus","score":0.45130810141563416},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4510098397731781},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.4187927842140198},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.40762537717819214},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.40086206793785095},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38966041803359985},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2305297553539276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1256103813648224},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10782918334007263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775315523147583},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.7365533113479614},{"id":"https://openalex.org/C95916125","wikidata":"https://www.wikidata.org/wiki/Q840540","display_name":"Relational algebra","level":3,"score":0.6225926876068115},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6022950410842896},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5863012671470642},{"id":"https://openalex.org/C40207289","wikidata":"https://www.wikidata.org/wiki/Q755662","display_name":"Relational model","level":3,"score":0.5700966715812683},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.48325639963150024},{"id":"https://openalex.org/C156340839","wikidata":"https://www.wikidata.org/wiki/Q2704791","display_name":"Enumeration","level":2,"score":0.4635220468044281},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4607497453689575},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4542359709739685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45392534136772156},{"id":"https://openalex.org/C99436015","wikidata":"https://www.wikidata.org/wiki/Q1722436","display_name":"Relational calculus","level":4,"score":0.45130810141563416},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4510098397731781},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.4187927842140198},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.40762537717819214},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.40086206793785095},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38966041803359985},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2305297553539276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1256103813648224},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10782918334007263},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.1987.7272421","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.1987.7272421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"1987 IEEE Third International Conference on Data Engineering","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":11,"referenced_works":["https://openalex.org/W1502804537","https://openalex.org/W1517332488","https://openalex.org/W1977662461","https://openalex.org/W1986832527","https://openalex.org/W2005471433","https://openalex.org/W2013012235","https://openalex.org/W2095263945","https://openalex.org/W2133384222","https://openalex.org/W2165467455","https://openalex.org/W2988759555","https://openalex.org/W3127280684"],"related_works":["https://openalex.org/W2085988990","https://openalex.org/W2056340443","https://openalex.org/W2005835473","https://openalex.org/W2378275298","https://openalex.org/W60748262","https://openalex.org/W3174970460","https://openalex.org/W2056147406","https://openalex.org/W2376710457","https://openalex.org/W206482712","https://openalex.org/W2156787493"],"abstract_inverted_index":{"A":[0,68],"historical":[1,19,76,101,110],"database":[2],"is":[3,52,73],"a":[4,15,83,89,98,106],"vast":[5],"source":[6],"of":[7,41,54,60,85,91,116],"data":[8,25,42],"for":[9,18,47,88,108],"statistical":[10,16,32,49],"analysis.":[11],"The":[12,31,79],"paper":[13],"presents":[14],"interface":[17,33],"relational":[20,77],"databases":[21],"with":[22,56,66],"an":[23],"underlying":[24],"model":[26],"which":[27],"uses":[28],"attribute":[29],"time-stamping.":[30],"we":[34],"propose":[35],"includes":[36],"aggregate":[37],"functions":[38],"and":[39,51,62,112],"transformations":[40],"into":[43,75],"tabular":[44],"forms":[45],"suitable":[46],"advanced":[48],"analysis":[50],"capable":[53],"dealing":[55],"the":[57,114],"subtle":[58],"semantics":[59],"time":[61,93,115],"various":[63],"issues":[64],"associated":[65],"it.":[67],"new":[69],"operation,":[70],"called":[71],"enumeration,":[72],"introduced":[74],"algebra.":[78],"enumeration":[80],"operation":[81],"derives":[82],"table":[84],"uniform":[86],"data,":[87],"set":[90],"specified":[92],"points":[94],"or":[95],"intervals,":[96],"from":[97],"three":[99],"dimensional":[100],"relation.":[102],"We":[103],"also":[104],"give":[105],"method":[107],"normalizing":[109],"relations":[111],"aligning":[113],"their":[117],"attributes.":[118]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}