TY  - BOOK
AU  - Spiliopoulou,Myra
AU  - Schmidt-Thieme,Lars
AU  - Janning,Ruth
ED  - SpringerLink (Online service)
TI  - Data Analysis, Machine Learning and Knowledge Discovery
T2  - Studies in Classification, Data Analysis, and Knowledge Organization,
SN  - 9783319015958
AV  - QA276-280 
U1  - 519.5 23
PY  - 2014///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Statistics
KW  - Data mining
KW  - Statistical methods
KW  - Mathematical statistics
KW  - Marketing
KW  - Philosophy (General)
KW  - Statistics and Computing/Statistics Programs
KW  - Data Mining and Knowledge Discovery
KW  - Finance/Investment/Banking
KW  - Biostatistics
KW  - General Psychology
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-319-01595-8
ER  -