{"id":"https://openalex.org/W2127911554","doi":"https://doi.org/10.1109/icmlc.2011.6016870","title":"Intelligent time series fast forecasting for fashion sales: A research agenda","display_name":"Intelligent time series fast forecasting for fashion sales: A research agenda","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2127911554","doi":"https://doi.org/10.1109/icmlc.2011.6016870","mag":"2127911554"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2011.6016870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","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/A5078004739","display_name":"Tsan\u2010Ming Choi","orcid":"https://orcid.org/0000-0003-3865-7043"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Tsan-Ming Choi","raw_affiliation_strings":["Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)"],"affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021584659","display_name":"Chi Leung Hui","orcid":"https://orcid.org/0000-0002-0489-1440"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chi-Leung Hui","raw_affiliation_strings":["Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)"],"affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049771866","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0002-5700-4542"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)"],"affiliations":[{"raw_affiliation_string":"Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"(Institute of Textiles and Clothing,The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078004739"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.6993,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.85869492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1010","last_page":"1014"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9932000041007996,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.9932000041007996,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9902999997138977,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7267118692398071},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.7053606510162354},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6912800073623657},{"id":"https://openalex.org/keywords/sales-forecasting","display_name":"Sales forecasting","score":0.5994620323181152},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.5213690400123596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4259990453720093},{"id":"https://openalex.org/keywords/technology-forecasting","display_name":"Technology forecasting","score":0.4161597490310669},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41400524973869324},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37838441133499146},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33124250173568726},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3237811028957367},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.14319321513175964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1392887532711029},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.061219751834869385}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7267118692398071},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.7053606510162354},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6912800073623657},{"id":"https://openalex.org/C2984642479","wikidata":"https://www.wikidata.org/wiki/Q7404320","display_name":"Sales forecasting","level":2,"score":0.5994620323181152},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.5213690400123596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4259990453720093},{"id":"https://openalex.org/C161657586","wikidata":"https://www.wikidata.org/wiki/Q1203326","display_name":"Technology forecasting","level":2,"score":0.4161597490310669},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41400524973869324},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37838441133499146},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33124250173568726},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3237811028957367},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.14319321513175964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1392887532711029},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.061219751834869385},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icmlc.2011.6016870","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2011.6016870","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/20862","is_oa":false,"landing_page_url":"http://hdl.handle.net/10397/20862","pdf_url":null,"source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1887565018","https://openalex.org/W1970398852","https://openalex.org/W1997754540","https://openalex.org/W2000765441","https://openalex.org/W2017417608","https://openalex.org/W2044109047","https://openalex.org/W2080419654","https://openalex.org/W2085866051","https://openalex.org/W2099549054","https://openalex.org/W2104420712","https://openalex.org/W2111072639","https://openalex.org/W2120065525","https://openalex.org/W2128640809","https://openalex.org/W2134243500","https://openalex.org/W2313953460","https://openalex.org/W2477834368","https://openalex.org/W2610887854","https://openalex.org/W2798058877","https://openalex.org/W6639593163"],"related_works":["https://openalex.org/W628335543","https://openalex.org/W4385818107","https://openalex.org/W1977917460","https://openalex.org/W3005124912","https://openalex.org/W3126075337","https://openalex.org/W2127911554","https://openalex.org/W4388221969","https://openalex.org/W4379964804","https://openalex.org/W2294126576","https://openalex.org/W2055026071"],"abstract_inverted_index":{"Forecasting":[0],"for":[1,12,60,93,101],"the":[2,18,23,36,42,48,61,102],"time":[3,43,66,107],"series":[4,44,67],"sales":[5,106],"data":[6],"of":[7,63,104],"fashion":[8,14,105],"products":[9],"is":[10,54,71],"crucial":[11],"many":[13],"companies.":[15],"However,":[16],"both":[17],"traditional":[19],"statistical":[20],"methods":[21,30],"and":[22,74,88],"more":[24],"advanced":[25],"intelligent":[26,65,97],"artificial":[27],"intelligence":[28],"(AI)":[29],"suffer":[31],"serious":[32],"drawbacks":[33],"in":[34],"which":[35,70],"former's":[37],"performance":[38],"depend":[39],"highly":[40],"on":[41],"data's":[45],"features":[46],"whereas":[47],"latter":[49],"ones":[50],"are":[51],"slow.":[52],"There":[53],"hence":[55],"a":[56,77,90],"need":[57],"to":[58],"call":[59],"development":[62],"an":[64],"forecasting":[68,99],"system":[69,100],"fast,":[72],"versatile":[73],"can":[75],"achieve":[76],"reasonably":[78],"high":[79],"accuracy.":[80],"In":[81],"this":[82,86],"paper,":[83],"we":[84],"explore":[85],"issue":[87],"propose":[89],"research":[91],"agenda":[92],"future":[94],"studies":[95],"around":[96],"fast":[98],"prediction":[103],"series.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
