From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University ... Data Analysis, and Knowledge Organization)
معرفی کتاب «From Data and Information Analysis to Knowledge Engineering: Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V., University ... Data Analysis, and Knowledge Organization)» نوشتهٔ Peter Bühlmann (auth.), Professor Dr. Myra Spiliopoulou, Professor Dr. Rudolf Kruse, Dr. Christian Borgelt, Jun.-Professor Dr. Andreas Nürnberger, Professor Dr. Wolfgang Gaul (eds.)، منتشرشده توسط نشر Springer Spektrum. in Springer-Verlag GmbH در سال 2006. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
The volume contains revised versions of selected papers presented during the 29th Annual Conference of the Gesellschaft für Klassifikation (GfKl), the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to papers on the traditional subjects Classification, Clustering, and Data Analysis, there are many papers on a wide range of topics with a strong relation to Computer Science. Examples are Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization. Application-oriented topics include Economics, Marketing, Banking and Finance, Medicine, Bioinformatics, Biostatistics, and Music Analysis.
This volume collects revised versions of papers presented at the 29th Annual Conference of the Gesellschaft für Klassifikation, the German Classification Society, held at the Otto-von-Guericke-University of Magdeburg, Germany, in March 2005. In addition to traditional subjects like Classification, Clustering, and Data Analysis, converage extends to a wide range of topics relating to Computer Science: Text Mining, Web Mining, Fuzzy Data Analysis, IT Security, Adaptivity and Personalization, and Visualization. This text contains selected papers presented during the 29th Annual Conference of the Gesellschaft für Klassifikation. As well as papers on the traditional subjects - classification, clustering and data analysis - it also includes many papers on a wide range of topics with a strong relation to computer science