Advances in Data Analysis, Data Handling and Business Intelligence Proceedings of the 32nd Annual Conference of the Gesellschaft für 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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fink, Andreas (Επιμελητής έκδοσης), Lausen, Berthold (Επιμελητής έκδοσης), Seidel, Wilfried (Επιμελητής έκδοσης), Ultsch, Alfred (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Studies in Classification, Data Analysis, and Knowledge Organization,
• Θέματα: Computer science.; Information technology.; Business > Data processing.; Data mining.; Artificial intelligence.; Statistics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Statistics, general.; IT in Business.; Data Mining and Knowledge Discovery.

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...

Πίνακας περιεχομένων:

• 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.