Cantitate/Preț
Produs

Advantages and Pitfalls of Pattern Recognition: Selected Cases in Geophysics: Computational Geophysics, cartea 3

Autor Horst Langer, Susanna Falsaperla, Conny Hammer
en Limba Engleză Paperback – 20 noi 2019
Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to geophysicists, geochemists, geologists, geographers, data analysts, and educators and students of geosciences. Scientific and technological progress has dramatically improved the knowledge of our planet with huge amounts of digital data available in various fields of Earth Sciences, such as geology, geophysics, and geography. This has led to a new perspective of data analysis, requiring specific techniques that take several features into consideration rather than single parameters. Pattern recognition techniques offer a suitable key for processing and extracting useful information from the data of multivariate analysis. This book explores both supervised and unsupervised pattern recognition techniques, while providing insight into their application.


  • Offers real-world examples of techniques for pattern recognition and handling multivariate data
  • Includes examples, applications, and diagrams to enhance understanding
  • Provides an introduction and access to relevant software packages
Citește tot Restrânge

Din seria Computational Geophysics

Preț: 69273 lei

Preț vechi: 101850 lei
-32% Nou

Puncte Express: 1039

Preț estimativ în valută:
12256 14279$ 10703£

Carte tipărită la comandă

Livrare economică 10-24 ianuarie 26

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9780128118429
ISBN-10: 0128118423
Pagini: 350
Dimensiuni: 191 x 235 mm
Greutate: 0.6 kg
Editura: ELSEVIER SCIENCE
Seria Computational Geophysics


Public țintă

Geophysicists, Geochemists, Geologists, Geographers, Data Analysts

Cuprins

Part I: From Data to Methods1. Patterns, Objects, and Features2. Supervised Learning3. Unsupervised Learning
Part II: Example Applications4. Applications with Supervised Learning5.. Applications with Unsupervised Learning
Part III: A Posteriori Analysis6. What is a Failure? A-posteriori Analyses - Advantages and Pitfalls of Pattern Recognition Techniques7. Software Manuals