Información de una colección
Studies in Classification, Data Analysis, and Knowledge Organization
Editorial :
ISSN :
1431-8814
|
Documentos disponibles dentro de esta colección (18)
Refinar búsquedaAdvances in Data Analysis, Data Handling and Business Intelligence / SpringerLink (Online service) ; Andreas Fink ; Berthold Lausen ; Seidel, Wilfried ; Alfred Ultsch (2010)
Título : Advances in Data Analysis, Data Handling and Business Intelligence : Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Andreas Fink ; Berthold Lausen ; Seidel, Wilfried ; Alfred Ultsch Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2010 Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XXVI, 695 p. 172 illus., 68 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-01044-6 Idioma : Inglés (eng) Palabras clave: Computer science Information technology Business Data processing mining Artificial intelligence Statistics Science Intelligence (incl. Robotics) Statistics, general IT in Mining and Knowledge Discovery Clasificación: 51 Matemáticas Resumen: Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008 Nota de contenido: Invited -- Clustering and Classification -- Mixture Analysis -- Linguistics and Text Analysis -- Pattern Recognition and Machine Learning -- Statistical Musicology -- Banking and Finance -- Marketing, Management Science and Economics -- Archaeology and Spatial Planning -- Bio- and Health Sciences -- Exploratory Data Analysis, Modeling and Applications En línea: http://dx.doi.org/10.1007/978-3-642-01044-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33700 Advances in Data Analysis, Data Handling and Business Intelligence : Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008 [documento electrónico] / SpringerLink (Online service) ; Andreas Fink ; Berthold Lausen ; Seidel, Wilfried ; Alfred Ultsch . - Berlin, Heidelberg : Springer Berlin Heidelberg, 2010 . - XXVI, 695 p. 172 illus., 68 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-01044-6
Idioma : Inglés (eng)
Palabras clave: Computer science Information technology Business Data processing mining Artificial intelligence Statistics Science Intelligence (incl. Robotics) Statistics, general IT in Mining and Knowledge Discovery Clasificación: 51 Matemáticas Resumen: Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as in marketing, finance, economics, engineering, linguistics, archaeology, musicology, medical science, and biology. This volume contains the revised versions of selected papers presented during the 32nd Annual Conference of the German Classification Society (Gesellschaft für Klassifikation, GfKl). The conference, which was organized in cooperation with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), was hosted by Helmut-Schmidt-University, Hamburg, Germany, in July 2008 Nota de contenido: Invited -- Clustering and Classification -- Mixture Analysis -- Linguistics and Text Analysis -- Pattern Recognition and Machine Learning -- Statistical Musicology -- Banking and Finance -- Marketing, Management Science and Economics -- Archaeology and Spatial Planning -- Bio- and Health Sciences -- Exploratory Data Analysis, Modeling and Applications En línea: http://dx.doi.org/10.1007/978-3-642-01044-6 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33700 Ejemplares
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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 : Challenges at the Interface of Data Analysis, Computer Science, and Optimization : Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Wolfgang A. Gaul ; Andreas Geyer-Schulz ; Schmidt-Thieme, Lars ; Jonas Kunze Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2012 Otro editor: Imprint: Springer Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIV, 598 p. 163 illus Il.: online resource ISBN/ISSN/DL: 978-3-642-24466-7 Idioma : Inglés (eng) Palabras clave: Statistics Operations research Decision making Data structures (Computer science) mining Management science and Computing/Statistics Programs Structures Research, Science Operation Research/Decision Theory Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology Nota de contenido: Classification, Cluster Analysis, and Multidimensional Scaling -- Quantification Theory -- Analysis of m-Mode n-Way and Asymmetric Data -- Analysis of Visual, Spatial, and Temporal Data -- Network Data, Graphs, and Social Relationships -- Text Mining -- Dimension Reduction -- Statistical Musicology -- Data Analysis in Banking and Finance -- Data Analysis in Health and Environment -- Analysis of Marketing, Conjoint, and Multigroup Data -- Data Analysis in Education and Psychology -- Analysis of Tourism Data En línea: http://dx.doi.org/10.1007/978-3-642-24466-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32943 Challenges at the Interface of Data Analysis, Computer Science, and Optimization : Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21 - 23, 2010 [documento electrónico] / SpringerLink (Online service) ; Wolfgang A. Gaul ; Andreas Geyer-Schulz ; Schmidt-Thieme, Lars ; Jonas Kunze . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012 . - XIV, 598 p. 163 illus : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-24466-7
Idioma : Inglés (eng)
Palabras clave: Statistics Operations research Decision making Data structures (Computer science) mining Management science and Computing/Statistics Programs Structures Research, Science Operation Research/Decision Theory Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume provides approaches and solutions to challenging problems occurring at the interface of research fields such as data analysis, computer science, operations research, and statistics. It includes theoretically oriented contributions as well as papers from various application areas, where knowledge from different research directions is needed to find an adequate analysis and interpretation of the observed data that match optimally the underlying practical situations. Beside traditional classification research, the book focuses also on current interests in fields such as the analysis of network data, graphs, and social relationships as well as on statistical musicology Nota de contenido: Classification, Cluster Analysis, and Multidimensional Scaling -- Quantification Theory -- Analysis of m-Mode n-Way and Asymmetric Data -- Analysis of Visual, Spatial, and Temporal Data -- Network Data, Graphs, and Social Relationships -- Text Mining -- Dimension Reduction -- Statistical Musicology -- Data Analysis in Banking and Finance -- Data Analysis in Health and Environment -- Analysis of Marketing, Conjoint, and Multigroup Data -- Data Analysis in Education and Psychology -- Analysis of Tourism Data En línea: http://dx.doi.org/10.1007/978-3-642-24466-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32943 Ejemplares
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Título : Classification and Data Mining Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Antonio Giusti ; Gunter Ritter ; Maurizio Vichi Editorial: Berlin, Heidelberg : Springer Berlin Heidelberg Fecha de publicación: 2013 Otro editor: Imprint: Springer Colección: Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814 Número de páginas: XIV, 286 p. 85 illus., 49 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-642-28894-4 Idioma : Inglés (eng) Palabras clave: Statistics Database management Data mining Statistical Theory and Methods Management Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498 Classification and Data Mining [documento electrónico] / SpringerLink (Online service) ; Antonio Giusti ; Gunter Ritter ; Maurizio Vichi . - Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013 . - XIV, 286 p. 85 illus., 49 illus. in color : online resource. - (Studies in Classification, Data Analysis, and Knowledge Organization, ISSN 1431-8814) .
ISBN : 978-3-642-28894-4
Idioma : Inglés (eng)
Palabras clave: Statistics Database management Data mining Statistical Theory and Methods Management Mining Knowledge Discovery Clasificación: 51 Matemáticas Resumen: This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining" Nota de contenido: Classification and Data Analysis -- Data Mining -- Applications En línea: http://dx.doi.org/10.1007/978-3-642-28894-4 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=32498 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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