Data Analytics Models and Algorithms for Intelligent Data Analysis /

This book is a comprehensive introduction to the methods and algorithms of modern data analytics. 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. T...

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Bibliographic Details
Main Author: Runkler, Thomas A. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2016.
Edition:2nd ed. 2016.
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Data Analytics
  • Data and Relations
  • Data Preprocessing
  • Data Visualization
  • Correlation
  • Regression
  • Forecasting
  • Classification
  • Clustering.