Myra Spiliopoulou,
Lars Schmidt-Thieme,
Ruth Janning
Springer International Publishing
2014e druk, 2013
9783319015941
Data Analysis, Machine Learning and Knowledge Discovery
Specificaties
Paperback, 470 blz.
|
Engels
Springer International Publishing |
2014e druk, 2013
ISBN13: 9783319015941
Rubricering
Juridisch
:
Onderdeel van serie
Studies in Classification, Data Analysis, and Knowledge Organization
Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
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.
Specificaties
ISBN13:9783319015941
Taal:Engels
Bindwijze:paperback
Aantal pagina's:470
Uitgever:Springer International Publishing
Druk:2014
Hoofdrubriek:Reclame en verkoop, Computer en informatica
Inhoudsopgave
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.
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