Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft f<U+00fc>r 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 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Fink, Andreas. (Editor), Lausen, Berthold. (Editor), Seidel, Wilfried. (Editor), Ultsch, Alfred. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Studies in Classification, Data Analysis, and Knowledge Organization,
• Subjects: 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 Discovery.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-01044-6

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, economic...

Table of Contents:

• 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.