{"id":"https://openalex.org/W4409158620","doi":"https://doi.org/10.1145/3690624.3709325","title":"DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting","display_name":"DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409158620","doi":"https://doi.org/10.1145/3690624.3709325"},"language":"en","primary_location":{"id":"doi:10.1145/3690624.3709325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.10859","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058572131","display_name":"Xiangfei Qiu","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangfei Qiu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009377579","display_name":"Xingjian Wu","orcid":"https://orcid.org/0009-0007-1879-4653"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingjian Wu","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102737280","display_name":"Yan Lin","orcid":"https://orcid.org/0000-0002-2320-9777"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Yan Lin","raw_affiliation_strings":["Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084021933","display_name":"Chenjuan Guo","orcid":"https://orcid.org/0000-0002-4516-4637"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjuan Guo","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020559625","display_name":"Jilin Hu","orcid":"https://orcid.org/0000-0002-7739-7769"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jilin Hu","raw_affiliation_strings":["School of Data Science and Engineering, East China Normal University, Shanghai, China and Engineering Research Center of Blockchain Data Management, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science and Engineering, East China Normal University, Shanghai, China and Engineering Research Center of Blockchain Data Management, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072309548","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-1658-1079"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Yang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5058572131"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":38.5375,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.99902614,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1185","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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":0.9998000264167786,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.993399977684021,"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":0.986299991607666,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7605207562446594},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7362717390060425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6765900254249573},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6706904172897339},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.646195113658905},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6016579866409302},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37813475728034973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3754463791847229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3258078992366791}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7605207562446594},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7362717390060425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6765900254249573},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6706904172897339},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.646195113658905},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6016579866409302},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37813475728034973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3754463791847229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3258078992366791},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","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},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3690624.3709325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3690624.3709325","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/520885e5-922a-4d0b-9474-bfdec3fe3192","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/520885e5-922a-4d0b-9474-bfdec3fe3192","pdf_url":"https://arxiv.org/pdf/2412.10859","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qiu, X, Wu, X, Lin, Y, Guo, C, Hu, J & Yang, B 2025, DUET : Dual Clustering Enhanced Multivariate Time Series Forecasting. in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), pp. 1185-1196, KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Ontario, Canada, 03/08/2025. https://doi.org/10.1145/3690624.3709325","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/520885e5-922a-4d0b-9474-bfdec3fe3192","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/520885e5-922a-4d0b-9474-bfdec3fe3192","pdf_url":"https://arxiv.org/pdf/2412.10859","source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Qiu, X, Wu, X, Lin, Y, Guo, C, Hu, J & Yang, B 2025, DUET : Dual Clustering Enhanced Multivariate Time Series Forecasting. in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), pp. 1185-1196, KDD '25: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, Ontario, Canada, 03/08/2025. https://doi.org/10.1145/3690624.3709325","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6100000143051147,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409158620.pdf","grobid_xml":"https://content.openalex.org/works/W4409158620.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1973263126","https://openalex.org/W2028045978","https://openalex.org/W2140971281","https://openalex.org/W2160654626","https://openalex.org/W2964137095","https://openalex.org/W2995310170","https://openalex.org/W3007066689","https://openalex.org/W3087903024","https://openalex.org/W3164820482","https://openalex.org/W3177318507","https://openalex.org/W3187633063","https://openalex.org/W3217545443","https://openalex.org/W4221145213","https://openalex.org/W4285157836","https://openalex.org/W4289533938","https://openalex.org/W4382203079","https://openalex.org/W4382239131","https://openalex.org/W4385562572","https://openalex.org/W4386768620","https://openalex.org/W4386768622","https://openalex.org/W4387075204","https://openalex.org/W4387092352","https://openalex.org/W4387561305","https://openalex.org/W4387848755","https://openalex.org/W4390321477","https://openalex.org/W4390956108","https://openalex.org/W4392453352","https://openalex.org/W4392902965","https://openalex.org/W4393159606","https://openalex.org/W4393160595","https://openalex.org/W4396877909","https://openalex.org/W4400910158","https://openalex.org/W4401024286","https://openalex.org/W4401126726","https://openalex.org/W4401353384","https://openalex.org/W4401880135","https://openalex.org/W4402508047","https://openalex.org/W4402857865","https://openalex.org/W4404090994","https://openalex.org/W4404181029","https://openalex.org/W4405022222","https://openalex.org/W4405306095","https://openalex.org/W4408060964"],"related_works":["https://openalex.org/W2406638334","https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W1991765889","https://openalex.org/W1990068454","https://openalex.org/W2118640767","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Multivariate":[0],"time":[1,32],"series":[2,33],"forecasting":[3,22],"is":[4,23],"crucial":[5],"for":[6],"various":[7],"applications,":[8],"such":[9],"as":[10],"financial":[11],"investment,":[12],"energy":[13],"management,":[14],"weather":[15],"forecasting,":[16],"and":[17,51,63],"traffic":[18],"optimization.":[19],"However,":[20],"accurate":[21],"challenging":[24],"due":[25],"to":[26,56],"two":[27],"main":[28],"factors.":[29],"First,":[30],"real-world":[31],"often":[34],"show":[35],"heterogeneous":[36],"temporal":[37],"patterns":[38],"caused":[39],"by":[40],"distribution":[41],"shifts":[42],"over":[43],"time.":[44],"Second,":[45],"correlations":[46],"among":[47,60],"channels":[48,61],"are":[49],"complex":[50],"intertwined,":[52],"making":[53],"it":[54],"hard":[55],"model":[57],"the":[58],"interactions":[59],"precisely":[62],"flexibly.":[64]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":19}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
