{"id":"https://openalex.org/W4312891154","doi":"https://doi.org/10.14778/3565816.3565822","title":"Time2Feat","display_name":"Time2Feat","publication_year":2022,"publication_date":"2022-10-01","ids":{"openalex":"https://openalex.org/W4312891154","doi":"https://doi.org/10.14778/3565816.3565822"},"language":"en","primary_location":{"id":"doi:10.14778/3565816.3565822","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3565816.3565822","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04374017","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085664755","display_name":"Angela Bonifati","orcid":"https://orcid.org/0000-0002-9582-869X"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Angela Bonifati","raw_affiliation_strings":["Lyon 1 University"],"affiliations":[{"raw_affiliation_string":"Lyon 1 University","institution_ids":["https://openalex.org/I100532134"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063748915","display_name":"Francesco Del Buono","orcid":"https://orcid.org/0000-0003-0024-2563"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Del Buono","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005665643","display_name":"Francesco Guerra","orcid":"https://orcid.org/0000-0001-6864-568X"},"institutions":[{"id":"https://openalex.org/I122346577","display_name":"University of Modena and Reggio Emilia","ror":"https://ror.org/02d4c4y02","country_code":"IT","type":"education","lineage":["https://openalex.org/I122346577"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Guerra","raw_affiliation_strings":["University of Modena and Reggio Emilia"],"affiliations":[{"raw_affiliation_string":"University of Modena and Reggio Emilia","institution_ids":["https://openalex.org/I122346577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057386139","display_name":"Donato Tiano","orcid":"https://orcid.org/0000-0003-0605-4184"},"institutions":[{"id":"https://openalex.org/I100532134","display_name":"Universit\u00e9 Claude Bernard Lyon 1","ror":"https://ror.org/029brtt94","country_code":"FR","type":"education","lineage":["https://openalex.org/I100532134","https://openalex.org/I203339264"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Donato Tiano","raw_affiliation_strings":["Lyon 1 University"],"affiliations":[{"raw_affiliation_string":"Lyon 1 University","institution_ids":["https://openalex.org/I100532134"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5085664755"],"corresponding_institution_ids":["https://openalex.org/I100532134"],"apc_list":null,"apc_paid":null,"fwci":2.5307,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89985778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"193","last_page":"201"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9675999879837036,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9472625255584717},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8040180206298828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675410509109497},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7235823273658752},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.615996241569519},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6085590720176697},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6008735299110413},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5813899040222168},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5527674555778503},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.459542453289032},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.418149471282959},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3309191167354584}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9472625255584717},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8040180206298828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675410509109497},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7235823273658752},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.615996241569519},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6085590720176697},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6008735299110413},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5813899040222168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5527674555778503},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.459542453289032},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.418149471282959},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3309191167354584},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.14778/3565816.3565822","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3565816.3565822","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04374017v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04374017","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the VLDB Endowment (PVLDB), 2022, 16 (2), pp.193 - 201. ⟨10.14778/3565816.3565822⟩","raw_type":"Journal articles"},{"id":"pmh:oai:iris.unimore.it:11380/1291465","is_oa":true,"landing_page_url":"https://hdl.handle.net/11380/1291465","pdf_url":null,"source":{"id":"https://openalex.org/S4306400718","display_name":"IRIS UNIMORE (University of Modena and Reggio Emilia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I122346577","host_organization_name":"University of Modena and Reggio Emilia","host_organization_lineage":["https://openalex.org/I122346577"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04374017v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04374017","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the VLDB Endowment (PVLDB), 2022, 16 (2), pp.193 - 201. ⟨10.14778/3565816.3565822⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1986969158","https://openalex.org/W2027913322","https://openalex.org/W2037416370","https://openalex.org/W2037537012","https://openalex.org/W2061025330","https://openalex.org/W2081584164","https://openalex.org/W2128672521","https://openalex.org/W2353267094","https://openalex.org/W2424333113","https://openalex.org/W2772387153","https://openalex.org/W2791629522","https://openalex.org/W2795847830","https://openalex.org/W2802314367","https://openalex.org/W2810511505","https://openalex.org/W2890096158","https://openalex.org/W2901265633","https://openalex.org/W2910705748","https://openalex.org/W2910739787","https://openalex.org/W2936565617","https://openalex.org/W2944504485","https://openalex.org/W2945976633","https://openalex.org/W2970864081","https://openalex.org/W2996061341","https://openalex.org/W3005340895","https://openalex.org/W3012149977","https://openalex.org/W3021739774","https://openalex.org/W3023780296","https://openalex.org/W3030907323","https://openalex.org/W3049684724","https://openalex.org/W3093718041","https://openalex.org/W3099795053","https://openalex.org/W3113553002","https://openalex.org/W3121562452","https://openalex.org/W3174754498","https://openalex.org/W3199837169","https://openalex.org/W4280576978","https://openalex.org/W4283266241"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W2905433371","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W4390569940","https://openalex.org/W2291782699","https://openalex.org/W1993948687"],"abstract_inverted_index":{"Clustering":[0],"multivariate":[1,61],"time":[2,62,78,159],"series":[3,63,160],"is":[4,49,85],"a":[5,81,89,116,122],"critical":[6,40],"task":[7],"in":[8,39],"many":[9],"real-world":[10],"applications":[11],"involving":[12],"multiple":[13],"signals":[14],"and":[15,24,71,131,150],"sensors.":[16],"Existing":[17],"systems":[18],"aim":[19],"to":[20,28,87],"maximize":[21],"effectiveness,":[22,147],"efficiency":[23],"scalability,":[25],"but":[26],"fail":[27],"guarantee":[29],"the":[30,33,77,97,101,104,112,135,141,146],"interpretability":[31,102],"of":[32,46,91,96,103,119,137,152],"results.":[34,105],"This":[35,51,125],"hinders":[36],"their":[37],"application":[38],"real":[41],"scenarios":[42],"where":[43],"human":[44],"comprehension":[45],"algorithmic":[47],"behavior":[48],"required.":[50],"paper":[52],"introduces":[53],"Time2Feat,":[54],"an":[55],"end-to-end":[56],"machine":[57],"learning":[58],"system":[59,67],"for":[60],"(MTS)":[64],"clustering.":[65],"The":[66],"relies":[68],"on":[69,156],"inter-signal":[70],"intra-signal":[72],"interpretable":[73],"features":[74,92,138],"extracted":[75],"from":[76],"series.":[79],"Then,":[80],"dimensionality":[82],"reduction":[83],"technique":[84],"applied":[86],"select":[88],"subset":[90],"that":[93],"retain":[94],"most":[95],"information,":[98],"thus":[99],"enhancing":[100],"In":[106],"addition,":[107],"domain":[108],"experts":[109],"can":[110],"semi-supervise":[111],"process,":[113],"by":[114,140],"providing":[115],"small":[117],"amount":[118],"MTS":[120,166],"with":[121,164],"target":[123],"cluster.":[124],"process":[126],"further":[127],"improves":[128],"both":[129],"accuracy":[130],"interpretability,":[132,148],"narrowing":[133],"down":[134],"number":[136],"used":[139],"clustering":[142,167],"process.":[143],"We":[144],"demonstrate":[145],"efficiency,":[149],"robustness":[151],"Time2Feat":[153],"through":[154],"experiments":[155],"eighteen":[157],"benchmarking":[158],"datasets,":[161],"comparing":[162],"them":[163],"state-of-the-art":[165],"methods.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2023-01-05T00:00:00"}