DATE: 2012-12-18
PAGES:
PUBLISHER: Springer
GENRE: Computer Science
AUTHOR: Thomas A. Runkler
FORMAT: PDF
PROTECTION: none
EDITION:
URL: http://is.gd/BM3QCj
LANGUAGE: English
ISBN: 978-3-834825-88-9
This book is a comprehensive introduction to the methods and algorithms and:
approaches of modern data analytics. It covers data preprocessing,
visualization, correlation, regression, forecasting, classification, and
clustering. It provides a sound mathematical basis, discusses advantages
and drawbacks of different approaches, and enables the reader to design and
implement data analytics solutions for real-world applications. The text is
designed for undergraduate and graduate courses on data analytics for
engineering, computer science, and math students. It is also suitable for
practitioners working on data analytics projects. This book has been used
for more than ten years in numerous courses at the Technical University of
Munich, Germany, in short courses at several other universities, and in
tutorials at scientific conferences. Much of the content is based on the
results of industrial research and development projects at Siemens.

Download File Size:1.99 MB

---