{"id":"https://openalex.org/W163027401","doi":"https://doi.org/10.1007/978-3-642-23963-2_29","title":"Embedding Forecast Operators in Databases","display_name":"Embedding Forecast Operators in Databases","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W163027401","doi":"https://doi.org/10.1007/978-3-642-23963-2_29","mag":"163027401"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-23963-2_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"book-chapter","type_crossref":"book-chapter","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/A5047977256","display_name":"Francesco Parisi","orcid":"https://orcid.org/0000-0001-9977-1355"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Parisi","raw_affiliation_strings":["Universit\u00e0 della Calabria, Rende (CS) -- Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 della Calabria, Rende (CS) -- Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030104668","display_name":"Amy Sliva","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amy Sliva","raw_affiliation_strings":["University of Maryland College Park, College Park, MD and Northeastern University, Boston, MA#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Maryland College Park, College Park, MD and Northeastern University, Boston, MA#TAB#","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038645035","display_name":"V. S. Subrahmanian","orcid":"https://orcid.org/0000-0001-7191-0296"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. S. Subrahmanian","raw_affiliation_strings":["[University of Maryland, College Park, College Park, MD]"],"affiliations":[{"raw_affiliation_string":"[University of Maryland, College Park, College Park, MD]","institution_ids":["https://openalex.org/I66946132"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392,"provenance":"doaj"},"apc_paid":null,"fwci":2.88,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"373","last_page":"386"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Trajectory Data Mining and Analysis","score":0.9993,"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":"Trajectory Data Mining and Analysis","score":0.9993,"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":"Data Stream Management Systems and Techniques","score":0.9985,"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/T10215","display_name":"Semantic Web and Ontology Development","score":0.9968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.57922864},{"id":"https://openalex.org/keywords/probabilistic-databases","display_name":"Probabilistic Databases","score":0.504394}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7064418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6684539},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.58563143},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.57922864},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.35510567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18642247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15279621},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-642-23963-2_29","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319965","https://openalex.org/P4310319900"],"host_organization_lineage_names":["Springer Nature","Springer Science+Business Media"],"type":"book series"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":15,"referenced_works":["https://openalex.org/W117630655","https://openalex.org/W1595995642","https://openalex.org/W1907699342","https://openalex.org/W1963940667","https://openalex.org/W1990391007","https://openalex.org/W2054599015","https://openalex.org/W2086941789","https://openalex.org/W2117395214","https://openalex.org/W2131344174","https://openalex.org/W2131617151","https://openalex.org/W2147349901","https://openalex.org/W2154368191","https://openalex.org/W337558160","https://openalex.org/W4210371587","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3121993784","https://openalex.org/W2926218886","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2376932109","https://openalex.org/W2358668433","https://openalex.org/W2150076039","https://openalex.org/W2147155098","https://openalex.org/W2059958079","https://openalex.org/W178365807"],"abstract_inverted_index":{"Though":[0],"forecasting":[1],"methods":[2],"are":[3,76,84,126],"used":[4],"in":[5,151],"numerous":[6],"fields,":[7],"we":[8,29,53,140],"have":[9],"seen":[10],"no":[11],"work":[12],"on":[13,50],"providing":[14],"a":[15,32,36,40,44],"general":[16],"theoretical":[17],"framework":[18],"to":[19,120],"build":[20],"forecast":[21,37,47,58,66,92,100,108,116,137,145,160],"operators":[22,59,80,93,109,125,146,150],"into":[23],"temporal":[24,152],"databases.":[25],"In":[26],"this":[27,51],"paper,":[28],"first":[30],"develop":[31],"formal":[33],"definition":[34],"of":[35,46,57,70,123,133,136,144],"operator":[38],"as":[39,98,113],"function":[41],"that":[42,78],"satisfies":[43],"suite":[45],"axioms.":[48],"Based":[49],"definition,":[52],"propose":[54,155],"three":[55],"families":[56],"called":[60],"deterministic,":[61],"probabilistic,":[62],"and":[63,73,102,106,154],"possible":[64,114],"worlds":[65,115],"operators.":[67,117,138],"Additional":[68],"properties":[69],"coherence,":[71],"monotonicity,":[72],"fact":[74],"preservation":[75],"identified":[77],"these":[79,124,134],"may":[81],"satisfy":[82],"(but":[83],"not":[85],"required":[86],"to).":[87],"We":[88],"show":[89],"how":[90,103],"deterministic":[91,105],"can":[94,110],"always":[95],"be":[96,111],"encoded":[97],"probabilistic":[99,107],"operators,":[101],"both":[104],"expressed":[112],"Issues":[118],"related":[119],"the":[121,129,142],"complexity":[122],"studied,":[127],"showing":[128],"relative":[130],"computational":[131],"tradeoffs":[132],"types":[135],"Finally,":[139],"explore":[141],"integration":[143],"with":[147],"standard":[148],"relational":[149],"databases":[153],"several":[156],"policies":[157],"for":[158],"answering":[159],"queries.":[161]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W163027401","counts_by_year":[{"year":2017,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2024-11-22T11:36:52.496587","created_date":"2016-06-24"}