{"id":"https://openalex.org/W2964404039","doi":"https://doi.org/10.1145/3292500.3332289","title":"Forecasting Big Time Series","display_name":"Forecasting Big Time Series","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2964404039","doi":"https://doi.org/10.1145/3292500.3332289","mag":"2964404039"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3332289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Carnegie Mellon University &amp; Amazon Research, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University &amp; Amazon Research, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005126104","display_name":"Valent\u00edn Flunkert","orcid":"https://orcid.org/0000-0001-7556-5602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Valentin Flunkert","raw_affiliation_strings":["AWS AI Labs, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, Berlin, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048713693","display_name":"Jan Gasthaus","orcid":"https://orcid.org/0000-0002-2007-773X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jan Gasthaus","raw_affiliation_strings":["AWS AI Labs, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, Munich, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026334888","display_name":"Tim Januschowski","orcid":"https://orcid.org/0000-0002-6475-1626"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tim Januschowski","raw_affiliation_strings":["AWS AI Labs, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100409330","display_name":"Yuyang Wang","orcid":"https://orcid.org/0000-0003-0242-8935"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuyang Wang","raw_affiliation_strings":["AWS AI Labs, East Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"AWS AI Labs, East Palo Alto, CA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035605036"],"corresponding_institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":2.5045,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.90139988,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3209","last_page":"3210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9894999861717224,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9894999861717224,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9769999980926514,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.736264169216156},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6397538185119629},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6049485206604004},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5290580987930298},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.49301406741142273},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46090683341026306},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4559108018875122},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4381714165210724},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.4373522102832794},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.4301244616508484},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4262833595275879},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35680049657821655},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30423885583877563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19706887006759644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11300581693649292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736264169216156},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6397538185119629},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6049485206604004},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5290580987930298},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49301406741142273},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46090683341026306},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4559108018875122},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4381714165210724},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.4373522102832794},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.4301244616508484},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4262833595275879},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35680049657821655},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30423885583877563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19706887006759644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11300581693649292},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3332289","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332289","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W4390608645","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396"],"abstract_inverted_index":{"Time":[0],"series":[1,100,148],"forecasting":[2,73,164],"is":[3],"a":[4,69,106],"key":[5],"ingredient":[6],"in":[7,15,34,37,55,72,105,152],"the":[8,29,40,62,92,117,142,153,160],"automation":[9],"and":[10,22,46,52,57,75,80,84,97,103,127,134],"optimization":[11],"of":[12,31,44,61,94,108,145,155],"business":[13],"processes:":[14],"retail,":[16],"deciding":[17],"which":[18],"products":[19],"to":[20,24,82,91,112,125,130,149],"order":[21],"where":[23],"store":[25],"them":[26],"depends":[27],"on":[28],"forecasts":[30,60,151],"future":[32,42,63],"demand":[33],"different":[35],"regions;":[36],"cloud":[38],"computing,":[39],"estimated":[41],"usage":[43],"services":[45],"infrastructure":[47],"components":[48],"guides":[49],"capacity":[50],"planning;":[51],"workforce":[53],"scheduling":[54],"warehouses":[56],"factories":[58],"requires":[59],"workload.":[64],"Recent":[65],"years":[66],"have":[67],"witnessed":[68],"paradigm":[70],"shift":[71,87],"techniques":[74],"applications,":[76],"from":[77,132],"computer-assisted":[78],"model-":[79],"assumption-based":[81],"data-driven":[83],"fully-automated.":[85],"This":[86],"can":[88,120,139,167],"be":[89,113],"attributed":[90],"availability":[93],"large,":[95],"rich,":[96],"diverse":[98,135],"time":[99,147],"data":[101,136,170],"sources":[102],"result":[104],"set":[107],"challenges":[109],"that":[110,166],"need":[111],"addressed":[114],"such":[115],"as":[116],"following.":[118],"How":[119,138],"we":[121,140],"build":[122],"statistical":[123,143],"models":[124],"efficiently":[126],"effectively":[128],"learn":[129],"forecast":[131],"large":[133,169],"sources?":[137],"leverage":[141],"power":[144],"\"similar''":[146],"improve":[150],"case":[154],"limited":[156],"observations?":[157],"What":[158],"are":[159],"implications":[161],"for":[162],"building":[163],"systems":[165],"handle":[168],"volumes?":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
