000			02331nam a2200229 4500
005			20260615130626.0
020			_a9781119421092
041			_aEnglish
082			_a519.5 _bENS
084			_2Colon Classification _a325.5/ENS
100			_aNil.
245			_aEnsemble classification methods : With applications in R _c/ Edited by Alfaro Esteban,Gamez Matias and Garcia Noelia
250			_a1
260			_aUK: _bWiley, _c2019.
300			_a200p.
500			_aEnsemble Classification Methods with Applications in R introduces the concepts and principles of ensemble classifier methods and includes a review of the most commonly used techniques. This important resource shows how ensemble classification has become an extension of the individual classifiers. The text places emphasis on two areas of machine learning: classification trees and ensemble learning. The authors explore ensemble classification methods' basic characteristics and explain the types of problems that can emerge in its application.Written by a team of noted experts in the field, the text is divided into two main sections. The first section outlines the theoretical underpinnings of the topic and the second section is designed to include examples of practical applications. The book contains a wealth of illustrative cases of business failure prediction, zoology, ecology and others. This vital guide:Offers an important text that has been tested both in the classroom and at tutorials at conferencesContains authoritative information written by leading experts in the field Presents a comprehensive text that can be applied to courses in machine learning, data mining and artificial intelligenceCombines in one volume, two of the most intriguing topics in machine learning: ensemble learning and classification treesWritten for researchers from many fields such as biostatistics, economics, environment, zoology, as well as students of data mining and machine learning, Ensemble Classification Methods with Applications in R puts the focus on two topics in machine learning: classification trees and ensemble learning.
650			_aStatistical mathematics/ and R Applications in Statistics _916179
700			_aAlfaro Esteban (ed.) _916180
700			_aGamez Matias (ed.) _916181
700			_aGarcia Noelia (ed.) _916182
942			_2ddc _cBK
999			_c760609 _d760609