{"id":"https://openalex.org/W3010434085","doi":"https://doi.org/10.1515/itit-2019-0035","title":"Feature-aware forecasting of large-scale time series data sets","display_name":"Feature-aware forecasting of large-scale time series data sets","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010434085","doi":"https://doi.org/10.1515/itit-2019-0035","mag":"3010434085"},"language":"en","primary_location":{"id":"doi:10.1515/itit-2019-0035","is_oa":false,"landing_page_url":"https://doi.org/10.1515/itit-2019-0035","pdf_url":null,"source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-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/A5034533320","display_name":"Claudio Hartmann","orcid":"https://orcid.org/0000-0002-5334-059X"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Claudio Hartmann","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043557645","display_name":"Lars Kegel","orcid":null},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lars Kegel","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany","institution_ids":["https://openalex.org/I78650965"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063512642","display_name":"Wolfgang Lehner","orcid":"https://orcid.org/0000-0001-8107-2775"},"institutions":[{"id":"https://openalex.org/I78650965","display_name":"Technische Universit\u00e4t Dresden","ror":"https://ror.org/042aqky30","country_code":"DE","type":"education","lineage":["https://openalex.org/I78650965"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Lehner","raw_affiliation_strings":["Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Dresden , Database Systems Group , Dresden , Germany","institution_ids":["https://openalex.org/I78650965"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034533320"],"corresponding_institution_ids":["https://openalex.org/I78650965"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02198665,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":"3-4","first_page":"157","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.984000027179718,"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/series","display_name":"Series (stratigraphy)","score":0.7589105367660522},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7019655108451843},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6400601863861084},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6219237446784973},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5746667981147766},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5533848404884338},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5245159864425659},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4587867558002472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37537121772766113},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36898863315582275},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07770541310310364}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.7589105367660522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7019655108451843},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6400601863861084},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6219237446784973},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5746667981147766},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5533848404884338},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5245159864425659},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4587867558002472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37537121772766113},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36898863315582275},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07770541310310364},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1515/itit-2019-0035","is_oa":false,"landing_page_url":"https://doi.org/10.1515/itit-2019-0035","pdf_url":null,"source":{"id":"https://openalex.org/S4210229153","display_name":"it - Information Technology","issn_l":"1611-2776","issn":["1611-2776","2196-7032"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319967","host_organization_name":"R. Oldenbourg Verlag","host_organization_lineage":["https://openalex.org/P4310319967"],"host_organization_lineage_names":["R. Oldenbourg Verlag"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"it - Information Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8173842387","display_name":null,"funder_award_id":"731232","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G8894596377","display_name":null,"funder_award_id":"100320127","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1499049447","https://openalex.org/W1673310716","https://openalex.org/W1894414046","https://openalex.org/W1973747955","https://openalex.org/W1976239864","https://openalex.org/W1989280111","https://openalex.org/W1989787309","https://openalex.org/W1997919544","https://openalex.org/W2009082127","https://openalex.org/W2026181456","https://openalex.org/W2042591571","https://openalex.org/W2049344225","https://openalex.org/W2085866051","https://openalex.org/W2097747115","https://openalex.org/W2106595237","https://openalex.org/W2116512828","https://openalex.org/W2117829824","https://openalex.org/W2128269288","https://openalex.org/W2165992248","https://openalex.org/W2167487311","https://openalex.org/W2184254008","https://openalex.org/W2187089797","https://openalex.org/W2236871065","https://openalex.org/W2477834368","https://openalex.org/W2567451611","https://openalex.org/W2753069234","https://openalex.org/W2798058877","https://openalex.org/W2907344090","https://openalex.org/W3098846496","https://openalex.org/W3100974552","https://openalex.org/W4256361765"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W1919101720","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2609066826","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"Internet":[2],"of":[3,28,47,62,84],"Things":[4],"(IoT)":[5],"sparks":[6],"a":[7,42,45,55,71],"revolution":[8],"in":[9],"time":[10,16,29,48,64],"series":[11,17,30,49],"forecasting.":[12],"Traditional":[13],"techniques":[14,67],"forecast":[15],"individually,":[18],"which":[19],"becomes":[20],"unfeasible":[21],"when":[22],"the":[23,81,85],"focus":[24],"changes":[25],"to":[26],"thousands":[27],"exhibiting":[31],"anomalies":[32],"like":[33],"noise":[34],"and":[35,54],"missing":[36],"values.":[37],"This":[38],"work":[39],"presents":[40],"CSAR,":[41],"technique":[43],"forecasting":[44,79],"set":[46],"with":[50],"only":[51],"one":[52],"model,":[53],"feature-aware":[56],"partitioning":[57],"applying":[58],"CSAR":[59],"on":[60],"subsets":[61],"similar":[63],"series.":[65],"These":[66],"provide":[68],"accurate":[69],"forecasts":[70],"hundred":[72],"times":[73],"faster":[74],"than":[75],"traditional":[76],"techniques,":[77],"preparing":[78],"for":[80],"arising":[82],"challenges":[83],"IoT":[86],"era.":[87]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
