
Advantages and Pitfalls of Pattern Recognition: Volume 3
Selected Cases in Geophysics
Elsevier (Publisher)
Published on 20. November 2019
Book
Paperback/Softback
350 pages
978-0-12-811842-9 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
United States
Target group
Professional and scholarly
Geophysicists, Geochemists, Geologists, Geographers, Data Analysts
Dimensions
Height: 235 mm
Width: 191 mm
Weight
730 gr
ISBN-13
978-0-12-811842-9 (9780128118429)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Horst Langer | Susanna Falsaperla | Conny Hammer
Advantages and Pitfalls of Pattern Recognition
Selected Cases in Geophysics
E-Book
11/2019
Elsevier
€131.00
Available for download
Persons
Horst Langer has developed methods for automatic alert systems and early warning on Mount Etna as well as tools that are routinely operated in the monitoring room of the institute and are part of the alert system for Civil Protection. Aside from his documented experience in the application of various pattern recognition techniques, he has also published computer programs for pattern recognition. Susanna Falsaperla has a long experience in the application of pattern recognition techniques and was among the first seismologists to apply automatic classification to seismic signals on volcanoes. She has made extensive use of pattern recognition in volcanology to relate multidisciplinary data to volcanic unrest and eruptive activity. Conny Hammer has worked on automatic classification of seismic signals in continuous data streams and has introduced novel concepts and tools into the seismological community from fields of machine learning (e.g., speech processing). Her automatic recognition tools are currently implemented in daily observatory routines. Besides automatic event detection, she has focused on the application of machine learning tools in seismic site characterization.
Author
Seismologist, Senior Researcher, Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Osservatorio Etneo, Italy
Seismologist, Senior Researcher, Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Catania, Osservatorio Etneo, Italy
Seismologist, Researcher, Schweizerischer Erdbebendienst, Eidgenoessische Technische Hochschule (ETH), Zuerich, Switzerland
Content
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
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