Data analysis, machine learning and knowledge discovery 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, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ?
AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection.- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks.- AREA Data Analysis and Classification in Marketing.- AREA Data Analysis in Finance.- AREA Data Analysis in Biostatistics and Bioinformatics.- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science.
Accessing your eBook through Kortext
Once purchased, you can view your eBook through the Kortext app, available to download for Windows, Android and iOS devices. Once you have downloaded the app, your eBook will be available on your Kortext digital bookshelf and can even be downloaded to view offline anytime, anywhere, helping you learn without limits.
In addition, you'll have access to Kortext's smart study tools including highlighting, notetaking, copy and paste, and easy reference export.
To download the Kortext app, head to your device's app store or visit https://app.kortext.com to sign up and read through your browser.
NB: eBook is only available for a single-user licence (i.e. not for multiple / networked users).
