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 fur Klassifikation, GfKl). The conference, which was...
Data Analysis, Data Handling and Business Intelligence are research areas at the intersection of computer science, artificial intelligence, mathema...
This volume contains the refereed papers of the 16th Annual Conference of the German Classification Society. The papers are organized into major sections on data analysis and classification, information retrieval, software, knowledge processing and applications.
This volume contains the refereed papers of the 16th Annual Conference of the German Classification Society. The papers are organized into major secti...
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the...
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining an...
This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and...
This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statis...
