Feature Selection for Data and Pattern Recognition (Paperback)
Paperback or Softback 355 pages Sep 24, 2016
(No reviews yet)
Write a Review
Write a Review
Springer
Feature Selection for Data and Pattern Recognition (Paperback)
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
This research book provides the reader with a selection of high-quality texts dedicated to current progress, new developments and research trends in feature selection for data and pattern recognition. Even though it has been the subject of interest for some time, feature selection remains one of actively pursued avenues of investigations due to its importance and bearing upon other problems and tasks. This volume points to a number of advances topically subdivided into four parts: estimation of importance of characteristic features, their relevance, dependencies, weighting and ranking; rough set approach to attribute reduction with focus on relative reducts; construction of rules and their evaluation; and data- and domain-oriented methodologies.
- Author:
- Urszula Stań
- Publisher:
- Springer
- Publication Date:
- Sep 24, 2016
- Number of pages:
- 355 pages
- Binding:
- Paperback or Softback
- ISBN-10:
- 3662508451
- ISBN-13:
- 9783662508459