Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Pattern Recognition : A Quality of Data Perspective, EPUB eBook

Pattern Recognition : A Quality of Data Perspective EPUB

EPUB

Download - Immediately Available
Please note: eBooks can only be purchased with a UK issued credit card and all our eBooks (ePub and PDF) are DRM protected.

Description

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.

Information

Other Formats

Save 14%

£107.95

£91.76

Download - Immediately Available
Add to Basket
Sign in to add to wishlist
 
Delivered to your inbox

to transfer to your device

eBook Help

Is this the right eBook for
my device? How do I download
this eBook? See help and FAQs pages

Information