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spiliopoulou myra (curatore); schmidt-thieme lars (curatore); janning ruth (curatore) - data analysis, machine learning and knowledge discovery

Data Analysis, Machine Learning and Knowledge Discovery

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 12/2013
Edizione: 2014





Trama

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.




Sommario

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.










Altre Informazioni

ISBN:

9783319015941

Condizione: Nuovo
Collana: Studies in Classification, Data Analysis, and Knowledge Organization
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XXI, 470 p. 120 illus., 32 illus. in color.
Pagine Arabe: 470
Pagine Romane: xxi


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