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Link de la búsquedaAdvances in Data Analysis / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz (2007)
Título : Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2007 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XVI, 687 p Il.: online resource ISBN/ISSN/DL: 978-3-540-70981-7 Idioma : Inglés (eng) Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8–10, 2006 [documento electrónico] / SpringerLink (Online service) ; Reinhold Decker ; Hans-Joachim Lenz . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2007 . - XVI, 687 p : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-70981-7
Idioma : Inglés (eng)
Palabras clave: Computer science Data structures (Computer science) mining Statistics Science Structures, Cryptology and Information Theory Statistical Methods Mining Knowledge Discovery for Business/Economics/Mathematical Finance/Insurance Life Sciences, Medicine, Health Sciences Social Science, Behavorial Education, Public Policy, Law Clasificación: 51 Matemáticas Nota de contenido: Clustering -- Classification -- Data and Time Series Analysis -- Visualization and Scaling Methods -- Information Retrieval, Data and Web Mining -- Marketing, Management Science and Economics -- Banking and Finance -- Bio- and Health Sciences -- Linguistics and Text Analysis -- Statistical Musicology and Sound Classification -- Archaeology En línea: http://dx.doi.org/10.1007/978-3-540-70981-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34657 Ejemplares
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Título : Algebraic Function Fields and Codes Tipo de documento: documento electrónico Autores: Henning Stichtenoth ; SpringerLink (Online service) Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2009 Colección: Graduate Texts in Mathematics, ISSN 0072-5285 num. 254 Número de páginas: XIV, 360 p Il.: online resource ISBN/ISSN/DL: 978-3-540-76878-4 Idioma : Inglés (eng) Palabras clave: Mathematics Data structures (Computer science) Algebra Algebraic geometry Information theory Applied mathematics Engineering Geometry Structures, Cryptology and Theory Communication, Circuits Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: The theory of algebraic function fields has its origins in number theory, complex analysis (compact Riemann surfaces), and algebraic geometry. Since about 1980, function fields have found surprising applications in other branches of mathematics such as coding theory, cryptography, sphere packings and others. The main objective of this book is to provide a purely algebraic, self-contained and in-depth exposition of the theory of function fields. This new edition, published in the series Graduate Texts in Mathematics, has been considerably expanded. Moreover, the present edition contains numerous exercises. Some of them are fairly easy and help the reader to understand the basic material. Other exercises are more advanced and cover additional material which could not be included in the text. This volume is mainly addressed to graduate students in mathematics and theoretical computer science, cryptography, coding theory and electrical engineering Nota de contenido: Foundations of the Theory of Algebraic Function Fields -- Algebraic Geometry Codes -- Extensions of Algebraic Function Fields -- Differentials of Algebraic Function Fields -- Algebraic Function Fields over Finite Constant Fields -- Examples of Algebraic Function Fields -- Asymptotic Bounds for the Number of Rational Places -- More about Algebraic Geometry Codes -- Subfield Subcodes and Trace Codes En línea: http://dx.doi.org/10.1007/978-3-540-76878-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34025 Algebraic Function Fields and Codes [documento electrónico] / Henning Stichtenoth ; SpringerLink (Online service) . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2009 . - XIV, 360 p : online resource. - (Graduate Texts in Mathematics, ISSN 0072-5285; 254) .
ISBN : 978-3-540-76878-4
Idioma : Inglés (eng)
Palabras clave: Mathematics Data structures (Computer science) Algebra Algebraic geometry Information theory Applied mathematics Engineering Geometry Structures, Cryptology and Theory Communication, Circuits Appl.Mathematics/Computational Methods of Clasificación: 51 Matemáticas Resumen: The theory of algebraic function fields has its origins in number theory, complex analysis (compact Riemann surfaces), and algebraic geometry. Since about 1980, function fields have found surprising applications in other branches of mathematics such as coding theory, cryptography, sphere packings and others. The main objective of this book is to provide a purely algebraic, self-contained and in-depth exposition of the theory of function fields. This new edition, published in the series Graduate Texts in Mathematics, has been considerably expanded. Moreover, the present edition contains numerous exercises. Some of them are fairly easy and help the reader to understand the basic material. Other exercises are more advanced and cover additional material which could not be included in the text. This volume is mainly addressed to graduate students in mathematics and theoretical computer science, cryptography, coding theory and electrical engineering Nota de contenido: Foundations of the Theory of Algebraic Function Fields -- Algebraic Geometry Codes -- Extensions of Algebraic Function Fields -- Differentials of Algebraic Function Fields -- Algebraic Function Fields over Finite Constant Fields -- Examples of Algebraic Function Fields -- Asymptotic Bounds for the Number of Rational Places -- More about Algebraic Geometry Codes -- Subfield Subcodes and Trace Codes En línea: http://dx.doi.org/10.1007/978-3-540-76878-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34025 Ejemplares
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Título : An Introduction to Mathematical Cryptography Tipo de documento: documento electrónico Autores: Joseph H. Silverman ; SpringerLink (Online service) ; Jill Pipher ; Jeffrey Hoffstein Editorial: New York, NY : Springer New York Fecha de publicación: 2008 Colección: Undergraduate Texts in Mathematics, ISSN 0172-6056 Número de páginas: XVI, 524 p. 29 illus Il.: online resource ISBN/ISSN/DL: 978-0-387-77994-2 Idioma : Inglés (eng) Palabras clave: Mathematics Data structures (Computer science) encryption Coding theory Algebra Ordered algebraic Information Number Theory and Structures, Cryptology Encryption Communication, Circuits Order, Lattices, Algebraic Structures Clasificación: 51 Matemáticas Resumen: This self-contained introduction to modern cryptography emphasizes the mathematics behind the theory of public key cryptosystems and digital signature schemes. The book focuses on these key topics while developing the mathematical tools needed for the construction and security analysis of diverse cryptosystems. Only basic linear algebra is required of the reader; techniques from algebra, number theory, and probability are introduced and developed as required. The book covers a variety of topics that are considered central to mathematical cryptography. Key topics include: * classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-based cryptosystems, the RSA cryptosystem, and digital signatures; * fundamental mathematical tools for cryptography, including primality testing, factorization algorithms, probability theory, information theory, and collision algorithms; * an in-depth treatment of important recent cryptographic innovations, such as elliptic curves, elliptic curve and pairing-based cryptography, lattices, lattice-based cryptography, and the NTRU cryptosystem. This book is an ideal introduction for mathematics and computer science students to the mathematical foundations of modern cryptography. The book includes an extensive bibliography and index; supplementary materials are available online Nota de contenido: An Introduction to Cryptography -- Discrete Logarithms and Diffie Hellman -- Integer Factorization and RSA -- Combinatorics, Probability and Information Theory -- Elliptic Curves and Cryptography -- Lattices and Cryptography -- Digital Signatures -- Additional Topics in Cryptography En línea: http://dx.doi.org/10.1007/978-0-387-77993-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34241 An Introduction to Mathematical Cryptography [documento electrónico] / Joseph H. Silverman ; SpringerLink (Online service) ; Jill Pipher ; Jeffrey Hoffstein . - New York, NY : Springer New York, 2008 . - XVI, 524 p. 29 illus : online resource. - (Undergraduate Texts in Mathematics, ISSN 0172-6056) .
ISBN : 978-0-387-77994-2
Idioma : Inglés (eng)
Palabras clave: Mathematics Data structures (Computer science) encryption Coding theory Algebra Ordered algebraic Information Number Theory and Structures, Cryptology Encryption Communication, Circuits Order, Lattices, Algebraic Structures Clasificación: 51 Matemáticas Resumen: This self-contained introduction to modern cryptography emphasizes the mathematics behind the theory of public key cryptosystems and digital signature schemes. The book focuses on these key topics while developing the mathematical tools needed for the construction and security analysis of diverse cryptosystems. Only basic linear algebra is required of the reader; techniques from algebra, number theory, and probability are introduced and developed as required. The book covers a variety of topics that are considered central to mathematical cryptography. Key topics include: * classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-based cryptosystems, the RSA cryptosystem, and digital signatures; * fundamental mathematical tools for cryptography, including primality testing, factorization algorithms, probability theory, information theory, and collision algorithms; * an in-depth treatment of important recent cryptographic innovations, such as elliptic curves, elliptic curve and pairing-based cryptography, lattices, lattice-based cryptography, and the NTRU cryptosystem. This book is an ideal introduction for mathematics and computer science students to the mathematical foundations of modern cryptography. The book includes an extensive bibliography and index; supplementary materials are available online Nota de contenido: An Introduction to Cryptography -- Discrete Logarithms and Diffie Hellman -- Integer Factorization and RSA -- Combinatorics, Probability and Information Theory -- Elliptic Curves and Cryptography -- Lattices and Cryptography -- Digital Signatures -- Additional Topics in Cryptography En línea: http://dx.doi.org/10.1007/978-0-387-77993-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34241 Ejemplares
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Título : Classification and Multivariate Analysis for Complex Data Structures Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Bernard Fichet ; Domenico Piccolo ; Rosanna Verde ; Maurizio Vichi Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2011 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIX, 473 p. 110 illus., 34 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-13312-1 Idioma : Inglés (eng) Palabras clave: Statistics Data structures (Computer science) Mathematical statistics Multimedia information systems Probabilities Statistical Theory and Methods Probability in Computer Science Structures, Cryptology Information Stochastic Processes Systems Clasificación: 51 Matemáticas Resumen: The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics Nota de contenido: Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science En línea: http://dx.doi.org/10.1007/978-3-642-13312-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33363 Classification and Multivariate Analysis for Complex Data Structures [documento electrónico] / SpringerLink (Online service) ; Bernard Fichet ; Domenico Piccolo ; Rosanna Verde ; Maurizio Vichi . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2011 . - XIX, 473 p. 110 illus., 34 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-13312-1
Idioma : Inglés (eng)
Palabras clave: Statistics Data structures (Computer science) Mathematical statistics Multimedia information systems Probabilities Statistical Theory and Methods Probability in Computer Science Structures, Cryptology Information Stochastic Processes Systems Clasificación: 51 Matemáticas Resumen: The growing capabilities in generating and collecting data has risen an urgent need of new techniques and tools in order to analyze, classify and summarize statistical information, as well as to discover and characterize trends, and to automatically bag anomalies. This volume provides the latest advances in data analysis methods for multidimensional data which can present a complex structure: The book offers a selection of papers presented at the first Joint Meeting of the Société Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society. Special attention is paid to new methodological contributions from both the theoretical and the applicative point of views, in the fields of Clustering, Classification, Time Series Analysis, Multidimensional Data Analysis, Knowledge Discovery from Large Datasets, Spatial Statistics Nota de contenido: Key Notes -- Classification and Discrimination -- Data Mining -- Robustness and Classification -- Categorical Data and Latent Class Approach -- Latent Variables and Related Methods -- Symbolic, Multivalued and Conceptual Data Analysis -- Spatial, Temporal, Streaming and Functional Data Analysis -- Bio and Health Science En línea: http://dx.doi.org/10.1007/978-3-642-13312-1 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33363 Ejemplares
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Título : Classification — the Ubiquitous Challenge : Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Dortmund, March 9–11, 2004 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Claus Weihs ; Wolfgang A. Gaul Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2005 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XX, 704 p. 181 illus Il.: online resource ISBN/ISSN/DL: 978-3-540-28084-2 Idioma : Inglés (eng) Palabras clave: Computer science Information technology Business Data processing structures (Computer science) Pattern recognition Bioinformatics Computational biology Statistics Science Structures, Cryptology and Theory Statistical Methods for Business/Economics/Mathematical Finance/Insurance IT in Recognition Appl. Life Sciences Clasificación: 51 Matemáticas Nota de contenido: (Semi-) Plenary Presentations -- Classification and Data Analysis: Classification; Data Analysis -- Applications -- Archaeology; Astronomy; Bio-Sciences; Electronic Data and Web; Finance and Insurance; Library Science and Linguistics; Macro-Economics; Marketing; Music Science; Quality Assurance -- Contest: Social Milieus in Dortmund En línea: http://dx.doi.org/10.1007/3-540-28084-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35294 Classification — the Ubiquitous Challenge : Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Dortmund, March 9–11, 2004 [documento electrónico] / SpringerLink (Online service) ; Claus Weihs ; Wolfgang A. Gaul . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2005 . - XX, 704 p. 181 illus : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-540-28084-2
Idioma : Inglés (eng)
Palabras clave: Computer science Information technology Business Data processing structures (Computer science) Pattern recognition Bioinformatics Computational biology Statistics Science Structures, Cryptology and Theory Statistical Methods for Business/Economics/Mathematical Finance/Insurance IT in Recognition Appl. Life Sciences Clasificación: 51 Matemáticas Nota de contenido: (Semi-) Plenary Presentations -- Classification and Data Analysis: Classification; Data Analysis -- Applications -- Archaeology; Astronomy; Bio-Sciences; Electronic Data and Web; Finance and Insurance; Library Science and Linguistics; Macro-Economics; Marketing; Music Science; Quality Assurance -- Contest: Social Milieus in Dortmund En línea: http://dx.doi.org/10.1007/3-540-28084-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35294 Ejemplares
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