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001450631 001__ 1450631
001450631 003__ OCoLC
001450631 005__ 20230310004535.0
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001450631 019__ $$a1347785203$$a1348487748
001450631 020__ $$a9783031167805$$q(electronic bk.)
001450631 020__ $$a3031167805$$q(electronic bk.)
001450631 020__ $$z9783031167799
001450631 020__ $$z3031167791
001450631 0247_ $$a10.1007/978-3-031-16780-5$$2doi
001450631 035__ $$aSP(OCoLC)1348690163
001450631 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ$$dN$T
001450631 049__ $$aISEA
001450631 050_4 $$aQA76.9.M35
001450631 08204 $$a004.01/51$$223/eng/20221025
001450631 1001_ $$aUrenda, Julio C.,$$eauthor.
001450631 24510 $$aAlgebraic approach to data processing :$$btechniques and applications /$$cJulio C. Urenda, Vladik Kreinovich.
001450631 264_1 $$aCham :$$bSpringer,$$c2022.
001450631 300__ $$a1 online resource :$$billustrations (black and white, and color).
001450631 336__ $$atext$$btxt$$2rdacontent
001450631 337__ $$acomputer$$bc$$2rdamedia
001450631 338__ $$aonline resource$$bcr$$2rdacarrier
001450631 4901_ $$aStudies in big data ;$$vvolume 115
001450631 504__ $$aIncludes bibliographical references and index.
001450631 5050_ $$aIntroduction -- What Are the Most Natural and the Most Frequent Transformations -- Which Functions and Which Families of Functions Are Invariant -- What Is the General Relation Between Invariance And Optimality -- General Application: Dynamical Systems -- First Application to Physics: Why Liquids? -- Second Application to Physics: Warping of Our Galaxy.
001450631 506__ $$aAccess limited to authorized users.
001450631 520__ $$aThe book explores a new general approach to selectingand designing data processing techniques. Symmetry and invariance ideas behind this algebraic approach have been successful in physics, where many new theories are formulated in symmetry terms. The book explains this approach and expands it to new application areas ranging from engineering, medicine, education to social sciences. In many cases, this approach leads to optimal techniques and optimal solutions. That the same data processing techniques help us better analyze wooden structures, lung dysfunctions, and deep learning algorithms is a good indication that these techniques can be used in many other applications as well. The book is recommended to researchers and practitioners who need to select a data processing techniqueor who want to design a new technique when the existing techniques do not work. It is also recommended to students who want to learn the state-of-the-art data processing.
001450631 588__ $$aDescription based on print version record.
001450631 650_0 $$aComputer science$$xMathematics.
001450631 650_0 $$aElectronic data processing.
001450631 650_0 $$aComputational intelligence.
001450631 650_0 $$aBig data.
001450631 655_0 $$aElectronic books.
001450631 7001_ $$aKreinovich, Vladik,$$eauthor.$$1https://isni.org/isni/0000000117585234
001450631 77608 $$iPrint version:$$aUrenda, Julio C.$$tAlgebraic approach to data processing.$$dCham : Springer, 2022$$z9783031167799$$w(OCoLC)1346949337
001450631 830_0 $$aStudies in big data ;$$vv. 115.
001450631 852__ $$bebk
001450631 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-16780-5$$zOnline Access$$91397441.1
001450631 909CO $$ooai:library.usi.edu:1450631$$pGLOBAL_SET
001450631 980__ $$aBIB
001450631 980__ $$aEBOOK
001450631 982__ $$aEbook
001450631 983__ $$aOnline
001450631 994__ $$a92$$bISE