001452878 000__ 03551cam\a2200613\i\4500
001452878 001__ 1452878
001452878 003__ OCoLC
001452878 005__ 20230314003323.0
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001452878 007__ cr\un\nnnunnun
001452878 008__ 220831s2023\\\\sz\a\\\\o\\\\\101\0\eng\d
001452878 019__ $$a1342489446
001452878 020__ $$a9783031155093$$q(electronic bk.)
001452878 020__ $$a3031155092$$q(electronic bk.)
001452878 020__ $$z9783031155086$$q(print)
001452878 020__ $$z3031155084
001452878 0247_ $$a10.1007/978-3-031-15509-3$$2doi
001452878 035__ $$aSP(OCoLC)1343016582
001452878 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dOCLCF$$dOCLCQ
001452878 049__ $$aISEA
001452878 050_4 $$aQA76.9.B45
001452878 08204 $$a005.7$$223/eng/20220831
001452878 1112_ $$aInternational Conference on Soft Methods in Probability and Statistics$$n(10th :$$d2022 :$$cValladolid, Spain)
001452878 24510 $$aBuilding bridges between soft and statistical methodologies for data science /$$cLuis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz, editors.
001452878 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023]
001452878 300__ $$a1 online resource (xiii, 408 pages) :$$billustrations (some color).
001452878 336__ $$atext$$btxt$$2rdacontent
001452878 337__ $$acomputer$$bc$$2rdamedia
001452878 338__ $$aonline resource$$bcr$$2rdacarrier
001452878 4901_ $$aAdvances in Intelligent Systems and Computing,$$x2194-5365 ;$$vvolume 1433
001452878 500__ $$aIncludes author index.
001452878 506__ $$aAccess limited to authorized users.
001452878 520__ $$aNowadays, data analysis is becoming an appealing topic due to the emergence of new data types, dimensions, and sources. This motivates the development of probabilistic/statistical approaches and tools to cope with these data. Different communities of experts, namely statisticians, mathematicians, computer scientists, engineers, econometricians, and psychologists are more and more interested in facing this challenge. As a consequence, there is a clear need to build bridges between all these communities for Data Science. This book contains more than fifty selected recent contributions aiming to establish the above referred bridges. These contributions address very different and relevant aspects such as imprecise probabilities, information theory, random sets and random fuzzy sets, belief functions, possibility theory, dependence modelling and copulas, clustering, depth concepts, dimensionality reduction of complex data and robustness.
001452878 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed August 31, 2022).
001452878 650_0 $$aBig data$$vCongresses.
001452878 650_0 $$aSoft computing$$vCongresses.
001452878 650_0 $$aElectronic data processing$$vCongresses.
001452878 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001452878 655_0 $$aElectronic books.
001452878 7001_ $$aGarcía-Escudero, Luis A.$$eeditor.
001452878 7001_ $$aGordaliza, Alfonso,$$eeditor.
001452878 7001_ $$aMayo, Agustín,$$eeditor.
001452878 7001_ $$aLubiano Gomez, María Asunción,$$eeditor.
001452878 7001_ $$aGil, María Á.$$q(Maria-Ángeles),$$eeditor.
001452878 7001_ $$aGrzegorzewski, Przemysław,$$eeditor.
001452878 7001_ $$aHryniewicz, Olgierd,$$eeditor.
001452878 77608 $$iPrint version: $$z3031155084$$z9783031155086$$w(OCoLC)1336987532
001452878 830_0 $$aAdvances in intelligent systems and computing ;$$v1433.$$x2194-5365
001452878 852__ $$bebk
001452878 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-15509-3$$zOnline Access$$91397441.1
001452878 909CO $$ooai:library.usi.edu:1452878$$pGLOBAL_SET
001452878 980__ $$aBIB
001452878 980__ $$aEBOOK
001452878 982__ $$aEbook
001452878 983__ $$aOnline
001452878 994__ $$a92$$bISE