Articles liés à Pattern Recognition: A Quality of Data Perspective

Pattern Recognition: A Quality of Data Perspective - Couverture rigide

Livre 6 sur 7: Wiley Series on Methods and Applications in Data Mining

Homenda, Wladyslaw; Pedrycz, Witold

 
9781119302827: Pattern Recognition: A Quality of Data Perspective
Couverture rigide
ISBN 10 : 111930282X ISBN 13 : 9781119302827
Editeur : John Wiley & Sons Inc, 2018

Synopsis

A new approach to the issue of data quality in pattern recognition

Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal.

For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data--its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data.

Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book:

  • Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation
  • Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition
  • Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts
  • Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes
  • Introduces the concept of granules and provides a framework for granular computing

Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

WLADYSLAW HOMENDA, MSc., PhD, DSc., is an Associate Professor with the Faculty of Mathematics and Information Science at the Warsaw University of Technology, Poland, and an Associate Professor with the Faculty of Economics and Informatics in Vilnius at the University of Bialystok, Lithuania.

WITOLD PEDRYCZ is a Professor with the Systems Research Institute, Polish Academy of Sciences Warsaw, Poland and Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB, Canada.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
John Wiley & Sons Inc
Date d'édition
2018
Langue
anglais
ISBN 10 
111930282X
ISBN 13 
9781119302827
Reliure
Relié
Nombre de pages
320
Coordonnées du fabricant
non disponible
Personne responsable
non disponible