Advances in Data Analysis, Data Handling and Business Intelligence
Springer Berlin (Verlag)
978-3-642-01043-9 (ISBN)
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.
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.
Erscheint lt. Verlag | 6.11.2009 |
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Reihe/Serie | Studies in Classification, Data Analysis, and Knowledge Organization |
Zusatzinfo | XXVI, 695 p. 172 illus., 68 illus. in color. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 1215 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • Business Intelligence • classification • Clustering • Cognition • Computer Science • Data Analysis • Databionics • Intelligence • learning • Linguistics • machine learning • Modeling • pattern recognition • service-oriented computing |
ISBN-10 | 3-642-01043-1 / 3642010431 |
ISBN-13 | 978-3-642-01043-9 / 9783642010439 |
Zustand | Neuware |
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