Buch, Englisch, 719 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2240 g
Reihe: Studies in Classification, Data Analysis, and Knowledge Organization
Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007
Buch, Englisch, 719 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 2240 g
Reihe: Studies in Classification, Data Analysis, and Knowledge Organization
ISBN: 978-3-540-78239-1
Verlag: Springer
Data analysis and machine learning 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 web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and applications presented during the 31st Annual Conference of the German Classification Society (Gesellschaft für Klassifikation - GfKl). The conference was held at the Albert-Ludwigs-University in Freiburg, Germany, in March 2007.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenkompression, Dokumentaustauschformate
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
- Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware SAP
Weitere Infos & Material
Classification.- Clustering.- Multidimensional Data Analysis.- Analysis of Complex Data.- Exploratory Data Analysis and Tools for Data Analysis.- Marketing and Management Science.- Banking and Finance.- Business Intelligence.- Text Mining, Web Mining, and the Semantic Web.- Linguistics.- Data Analysis in Humanities.
