{"id":"https://openalex.org/W2216863926","doi":"https://doi.org/10.1109/bigdata.2015.7363993","title":"Forecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization","display_name":"Forecast UPC-level FMCG demand, Part I: Exploratory analysis and visualization","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2216863926","doi":"https://doi.org/10.1109/bigdata.2015.7363993","mag":"2216863926"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2015.7363993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","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/A5100321859","display_name":"Dazhi Yang","orcid":"https://orcid.org/0000-0003-2162-6873"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Dazhi Yang","raw_affiliation_strings":["Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063394068","display_name":"Gary Goh","orcid":null},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gary S. W. Goh","raw_affiliation_strings":["Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028317321","display_name":"Chi Xu","orcid":"https://orcid.org/0000-0001-5480-3974"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chi Xu","raw_affiliation_strings":["Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024069022","display_name":"Allan N. Zhang","orcid":"https://orcid.org/0000-0003-4795-5843"},"institutions":[{"id":"https://openalex.org/I4210091207","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30","country_code":"SG","type":"facility","lineage":["https://openalex.org/I115228651","https://openalex.org/I4210091207","https://openalex.org/I91275662"]},{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Allan N. Zhang","raw_affiliation_strings":["Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Technology and Research (A * STAR), Singapore Institute of Manufacturing Technology (SIMTech) Agency for Science, Singapore, Singapore","institution_ids":["https://openalex.org/I4210091207","https://openalex.org/I115228651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035465409","display_name":"Orkan Akcan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Orkan Akcan","raw_affiliation_strings":["Antuit Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Antuit Singapore, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100321859"],"corresponding_institution_ids":["https://openalex.org/I115228651","https://openalex.org/I4210091207"],"apc_list":null,"apc_paid":null,"fwci":2.4037,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8966072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2106","last_page":"2112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.994700014591217,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.994700014591217,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9900000095367432,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9891999959945679,"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":0.7812891006469727},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7595471143722534},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6502774953842163},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5964230298995972},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5658116340637207},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.552692711353302},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5277224779129028},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.525615394115448},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4829903841018677},{"id":"https://openalex.org/keywords/exploratory-data-analysis","display_name":"Exploratory data analysis","score":0.46508851647377014},{"id":"https://openalex.org/keywords/demand-forecasting","display_name":"Demand forecasting","score":0.4525125324726105},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42427316308021545},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.41505327820777893},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2747246325016022},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2265305519104004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18752247095108032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1772545874118805},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08143508434295654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7812891006469727},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7595471143722534},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6502774953842163},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5964230298995972},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5658116340637207},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.552692711353302},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5277224779129028},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.525615394115448},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4829903841018677},{"id":"https://openalex.org/C120894424","wikidata":"https://www.wikidata.org/wiki/Q1322871","display_name":"Exploratory data analysis","level":2,"score":0.46508851647377014},{"id":"https://openalex.org/C193809577","wikidata":"https://www.wikidata.org/wiki/Q3409300","display_name":"Demand forecasting","level":2,"score":0.4525125324726105},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42427316308021545},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.41505327820777893},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2747246325016022},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2265305519104004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18752247095108032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1772545874118805},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08143508434295654},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2015.7363993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2015.7363993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334747","display_name":"Singapore Institute of Manufacturing Technology","ror":"https://ror.org/00f44np30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1566530649","https://openalex.org/W1567454533","https://openalex.org/W1764997507","https://openalex.org/W1878262636","https://openalex.org/W1981144978","https://openalex.org/W2000602485","https://openalex.org/W2005243481","https://openalex.org/W2040263621","https://openalex.org/W2104146802","https://openalex.org/W2150130182","https://openalex.org/W2200260905","https://openalex.org/W2278984902","https://openalex.org/W3124860181","https://openalex.org/W4234453731"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W1990063575"],"abstract_inverted_index":{"We":[0],"are":[1],"interested":[2],"in":[3,19,135,172,211],"forecasting":[4,64],"a":[5,20,58,122,136],"large":[6],"collection":[7],"of":[8,16,31,40,97,109,154,158,180,204],"FMCG":[9,17,207],"demand":[10,15,77,96,111,208],"time":[11,41,54,82,125,174,201],"series.":[12,42,83,202],"As":[13],"the":[14,28,32,49,75,98,110,131,155,159,205],"exists":[18],"hierarchy":[21,33],"(from":[22,192],"manufacturers":[23],"to":[24,26,71,130,195],"distributors":[25],"retailers),":[27],"bottom":[29],"level":[30],"may":[34],"contain":[35],"thousands":[36],"or":[37],"even":[38],"millions":[39],"Producing":[43],"aggregate":[44],"consistent":[45],"forecasts":[46],"while":[47],"utilizing":[48],"unique":[50],"features":[51],"from":[52],"each":[53,81],"series":[55,126,175],"thus":[56],"become":[57],"technical":[59],"challenge.":[60],"To":[61],"achieve":[62],"better":[63],"results,":[65],"exploratory":[66,146,187],"analysis":[67,85,147],"is":[68,119,163,209],"often":[69],"necessary":[70],"obtain":[72],"insights":[73],"on":[74],"underlying":[76],"generating":[78],"mechanism":[79],"for":[80,165,198],"Exploratory":[84],"aims":[86],"at":[87],"discovering":[88],"those":[89],"so-called":[90],"\"exogenous":[91],"factors\",":[92],"such":[93],"as":[94,140],"price,":[95],"complementary/substitutive":[99],"goods":[100],"and":[101,148,169,189],"calendar":[102],"events,":[103],"which":[104],"can":[105,127],"help":[106],"explain":[107],"some":[108,186],"fluctuation.":[112],"During":[113],"forecast":[114],"accuracy":[115],"evaluation,":[116],"outlier":[117,170],"detection":[118,171],"also":[120],"important;":[121],"single":[123],"anomalous":[124],"contribute":[128],"much":[129,151],"overall":[132],"error.":[133],"However,":[134],"big":[137,173,199],"data":[138],"(such":[139],"retailing":[141,200],"scanner":[142],"data)":[143],"enabled":[144],"environment,":[145],"visualization":[149,190],"need":[150],"attention,":[152],"because":[153],"non-scalable":[156],"nature":[157],"existing":[160],"methods.":[161],"Scalability":[162],"essential":[164],"exogenous":[166],"factor":[167],"selection":[168],"data.":[176],"In":[177],"Part":[178,212],"I":[179],"this":[181],"two-part":[182],"paper,":[183],"we":[184],"introduce":[185],"analytics":[188],"methods":[191],"not":[193],"scalable":[194],"very":[196],"scalable)":[197],"Forecasting":[203],"hierarchical":[206],"addressed":[210],"II.":[213]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
