TY  - BOOK
AU  - 
AU  - 
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Advances in Data Analysis, Data Handling and Business Intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft fȭr 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 
T2  - Studies in Classification, Data Analysis, and Knowledge Organization,
SN  - 9783642010446
AV  - Q334-342 
U1  - 006.3 23
PY  - 2010///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Data mining
KW  - Artificial intelligence
KW  - Statistics
KW  - Management information systems
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Statistics, general
KW  - Business Information Systems
KW  - Data Mining and Knowledge Discovery
N1  - 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; ZDB-2-SCS
N2  - 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 fȭr 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
UR  - http://dx.doi.org/10.1007/978-3-642-01044-6
ER  -