Data Analysis, Machine Learning and Knowledge Discovery

Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (Herausgeber)

Buch | Softcover

XXI, 470 Seiten

2013 | 2014
Springer International Publishing (Verlag)
978-3-319-01594-1 (ISBN)

Artikel merken

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.

From the book reviews:

"The book is organized in seven parts ... . The book is a very interesting collection of papers describing various approaches of data mining and machine learning on aspects from bioinformatics to music classification. It is an excellent addition to the field and it can be used as starting point for projects from undergraduate to post-graduate level." (Irina Ioana Mohorianu, zbMATH, Vol. 1301, 2015)

Erscheint lt. Verlag	9.12.2013
Reihe/Serie	Studies in Classification, Data Analysis, and Knowledge Organization
Zusatzinfo	XXI, 470 p. 120 illus., 32 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	747 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
Themenwelt	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
Schlagworte	Applied Statistics • classification • Clustering • Data Analysis • Marketing • Prediction
ISBN-10	3-319-01594-X / 331901594X
ISBN-13	978-3-319-01594-1 / 9783319015941
Zustand	Neuware