Data Analysis, Machine Learning and Knowledge Discovery

Name: Data Analysis, Machine Learning and Knowledge Discovery
Author: Myra Spiliopoulou

Paperback Engels 2013 2014e druk 9783319015941

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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

Serie:Studies in Classification, Data Analysis, and Knowledge Organization

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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.