Learning from Imbalanced Data




      Learning from Imbalanced Data
This book provides a general and comprehensible overview of imbalanced learning It contains a formal description of a problem, and focuses on its main features, and the most relevant proposed solutions Additionally, it considers the different scenarios in Data Science for which the imbalanced classification can create a real challenge.This book stresses the gap with standard classification tasks by reviewing the case studies and ad hoc performance metrics that are applied in this area It also covers the different approaches that have been traditionally applied to address the binary skewed class distribution Specifically, it reviews cost sensitive learning, data level preprocessing methods and algorithm level solutions, taking also into account those ensemble learning solutions that embed any of the former alternatives Further, it focuses on the extension of the problem for multi class problems, where the former classical methods are no longer to be applied in a straightforward way.This book also focuses on the data intrinsic characteristics that are the main causes which, added to the uneven class distribution, truly hinders the performance of classification algorithms in this scenario Then, some notes on data reduction are provided in order to understand the advantages related to the use of this type of approaches.Finally this book introduces some novel areas of study that are gathering a deeper attention on the imbalanced data issue Specifically, it considers the classification of data streams, non classical classification problems, and the scalability related to Big Data Examples of software libraries and modules to address imbalanced classification are provided.This book is highly suitable for technical professionals, senior undergraduate and graduate students in the areas of data science, computer science and engineering It will also be useful for scientists and researchers to gain insight on the current developments in this area of study, as well as future research directions. Free Read Learning from Imbalanced Data by Alberto Fernández For Kindle ePUB or eBook – bluevapours.co.uk

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      Learning from Imbalanced Data
 ↠ 16th century ↠ View – bluevapours.co.uk
  • Hardcover
  • Learning from Imbalanced Data
  • Alberto Fernández
  • 13 February 2018
  • 3319980734

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