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Automating data science

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Automating data science

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dc.contributor.author De Bie, Tijl es_ES
dc.contributor.author De Raedt, Luc es_ES
dc.contributor.author Hernández-Orallo, José es_ES
dc.contributor.author Hoos, Holger H. es_ES
dc.contributor.author Smyth, Padhraic es_ES
dc.contributor.author Williams, Christopher K. I. es_ES
dc.date.accessioned 2023-11-16T19:02:11Z
dc.date.available 2023-11-16T19:02:11Z
dc.date.issued 2022-03 es_ES
dc.identifier.issn 0001-0782 es_ES
dc.identifier.uri http://hdl.handle.net/10251/199907
dc.description.abstract [EN] Given the complexity of data science projects and related demand for human expertise, automation has the potential to transform the data science process. es_ES
dc.description.sponsorship TDB: The European Research Council under the European Union's Seventh Framework Programme (FP7/20072013)/ERC Grant Agreement no. 615517. The Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie Vlaanderen" programme. The Fund for Scientific Research-Flanders (FWO-Vlaanderen), project no. G091017N, G0F9816N, 3G042220. LDR: The research reported in this work was supported by the European Research Council under the European Union's Horizon 2020 research and innovation programme (grant agreement No [694980] SYNTH: Synthesising Inductive Data Models), the EU H2020 ICT48 project "TAILOR" contract #952215; the Flemish Government's "Onderzoeksprogramma Artificiele Intelligentie Vlaanderen" programme and the Wallenberg AI, Autonomous Systems and Software Program funded by the Knut and Alice Wallenberg Foundation. JHO: EU (FEDER) and the Spanish MINECO, Grant: RTI2018-094403-B-C3. Generalitat Valenciana, Grant: PROMETEO/2019/098. FLI, Grant RFP2-152. MIT-Spain INDITEX Sustainability Seed Fund. Grant: FC200944. EU H2020. Grant: ICT48 project "TAILOR" contract #952215. HHH: The research reported in this work was partially supported by the EU H2020 ICT48 project "TAILOR" contract #952215; by the EU project H2020FETFLAG-2018-01, "HumanE AI," contract #820437, and by start-up funding from Leiden University. PS: This material is based on work supported by the US National Science Foundation under awards DGE-1633631, IIS-1900644, IIS-1927245, DMS1839336, CNS-1927541, CNS-1730158, DUE-1535300; by the US National Institutes of Health under award 1U01TR001801-01; by NASA award NNX15AQ06A. CKIW: This work is supported in part by grant EP/N510129/1 from the UK Engineering and Physical Sciences Research Council (EPSRC) to the Alan Turing Institute. He thanks the Artificial Intelligence for Data Analytics team at the Turing Institute for many helpful conversations. es_ES
dc.language Inglés es_ES
dc.publisher Association for Computing Machinery es_ES
dc.relation.ispartof Communications of the ACM es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Automating data science es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1145/3495256 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094403-B-C31/ES/RAZONAMIENTO FORMAL PARA TECNOLOGIAS FACILITADORAS Y EMERGENTES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//DGE-1633631/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/615517/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//IIS-1900644/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/694980/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//CNS-1730158/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/820437/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//IIS-1927245/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/952215/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//DMS1839336/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//CNS-1927541/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NSF//DUE-1535300/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EPSRC//EP%2FN510129%2F1/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FWO//3G042220/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FWO//G091017N/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FWO//G0F9816N/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2019%2F098//DEEPTRUST/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NASA//NNX15AQ06A/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/NIH//1U01TR001801-01/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/FLI//RFP2-152/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MIT//FC200944/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation De Bie, T.; De Raedt, L.; Hernández-Orallo, J.; Hoos, HH.; Smyth, P.; Williams, CKI. (2022). Automating data science. Communications of the ACM. 65(3):76-87. https://doi.org/10.1145/3495256 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1145/3495256 es_ES
dc.description.upvformatpinicio 76 es_ES
dc.description.upvformatpfin 87 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 65 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\488505 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Future of Life Institute es_ES
dc.contributor.funder Research Foundation Flanders es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder National Science Foundation, EEUU es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder National Institutes of Health, EEUU es_ES
dc.contributor.funder Knut and Alice Wallenberg Foundation es_ES
dc.contributor.funder Massachusetts Institute of Technology es_ES
dc.contributor.funder National Aeronautics and Space Administration, EEUU es_ES
dc.contributor.funder Engineering and Physical Sciences Research Council, Reino Unido es_ES


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