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Data Analysis, Machine Learning and Applications [electronic resource] : Proceedings of the 31st Annual Conference of the Gesellschaft fȭr Klassifikation e.V., Albert-Ludwigs-Universitt Freiburg, March 79, 2007 / edited by Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker.

Por: Preisach, Christine [editor.]Colaborador(es): Burkhardt, Hans [editor.] | Schmidt-Thieme, Lars [editor.] | Decker, Reinhold [editor.]Tipo de material: TextoTextoSeries Studies in Classification, Data Analysis, and Knowledge OrganizationEditor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008Descripción: XVI, 719 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783540782469Trabajos contenidos: SpringerLink (Online service)Tema(s): Computer science | Data mining | Artificial intelligence | Statistics | Management information systems | Computer Science | Artificial Intelligence (incl. Robotics) | Statistics, general | Business Information Systems | Data Mining and Knowledge DiscoveryFormatos físicos adicionales: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: Data analysis and machine learning 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 web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fȭr Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
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Classification -- Clustering -- Multidimensional Data Analysis -- Analysis of Complex Data -- Exploratory Data Analysis and Tools for Data Analysis -- Marketing and Management Science -- Banking and Finance -- Business Intelligence -- Text Mining, Web Mining, and the Semantic Web -- Linguistics -- Data Analysis in Humanities.

Data analysis and machine learning 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 web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft fȭr Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.

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