Data analysis, machine learning and applications [electronic resource] : proceedings of the 31st Annual Conference of the Gesellschaft fü̈r Klassifikation e.V., Albert-Ludwigs-Universität Freiburg, March 7-9, 2007 / Christine Preisach [and others], editors.
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, bio...
Saved in:
| Online Access: |
Full Text (via Springer) |
|---|---|
| Corporate Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin :
Springer,
©2008.
|
| Series: | Studies in classification, data analysis, and knowledge organization.
|
| Subjects: |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 online resource (xvi, 719 pages) : illustrations. |
| Bibliography: | Includes bibliographical references and indexes. |
| ISBN: | 9783540782469 354078246X 9783540782391 3540782397 |
| Source of Description, Etc. Note: | Print version record. |