Data Science, Learning by Latent Structures, and Knowledge Discovery

ebook Studies in Classification, Data Analysis, and Knowledge Organization

By Berthold Lausen

cover image of Data Science, Learning by Latent Structures, and Knowledge Discovery

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today
Libby_app_icon.svg

Find this title in Libby, the library reading app by OverDrive.

app-store-button-en.svg play-store-badge-en.svg
LibbyDevices.png

Search for a digital library with this title

Title found at these libraries:

Loading...

This volume comprises papers dedicated to data science and the extraction of knowledge from many types of data: structural, quantitative, or statistical approaches for the analysis of data; advances in classification, clustering and pattern recognition methods; strategies for modeling complex data and mining large data sets; applications of advanced methods in specific domains of practice. The contributions offer interesting applications to various disciplines such as psychology, biology, medical and health sciences; economics, marketing, banking and finance; engineering; geography and geology; archeology, sociology, educational sciences, linguistics and musicology; library science. The book contains the selected and peer-reviewed papers presented during the European Conference on Data Analysis (ECDA 2013) which was jointly held by the German Classification Society (GfKl) and the French-speaking Classification Society (SFC) in July 2013 at the University of Luxembourg.

Data Science, Learning by Latent Structures, and Knowledge Discovery