Machine Learning: Concepts, Methodologies, Tools and Applications (3 Volumes)

Machine Learning: Concepts, Methodologies, Tools and Applications (3 Volumes)

Release Date: July, 2011|Copyright: © 2012 |Pages: 2124
DOI: 10.4018/978-1-60960-818-7
ISBN13: 9781609608187|ISBN10: 1609608186|EISBN13: 9781609608194
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Description & Coverage
Description:

Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning.

Machine Learning: Concepts, Methodologies, Tools, and Applications offers a wide-ranging selection of key research in a complex field of study. This multi-volume set will cover both broad concepts and specific applications. Chapters will discuss topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Bayesian Modelling
  • Bioinformatics
  • Chemoinformatics
  • Content-Based Image Retrieval
  • Data Mining
  • Evolutionary Algorithms
  • Human Motion Analysis
  • Medical Diagnostic Systems
  • Multi-Agent Systems
Reviews & Statements

This three-volume set reprints 120 papers previously published by Information Science Reference in Handbook of research on machine learning applications and trends, Dynamic and advanced data mining for progressing technological development, Computational modeling and simulation of intellect and other titles. The papers are arranged according to machine learning theories, design methodologies, software tools, applications, organizational and social implications, and managerial impact.

– SciTech Book News, Book News Inc., December 2011

As a comprehensive collection of research on the latest findings related to using technology to providing various services, Machine Learning: Concepts, Methodologies, Tools and Applications, provides researchers, administrators and all audiences with a complete understanding of the development of applications and concepts in machine learning. Given the vast number of issues concerning usage, failure, success, policies, strategies, and applications of machine learning in organizations, Machine Learning: Concepts, Methodologies, Tools and Applications addresses the demand for a resource that encompasses the most pertinent research in machine learning development, deployment, and impact.

– Information Resources Management Association, USA
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Editor/Author Biographies
Information Resources Management Association (IRMA) is a research-based professional organization dedicated to advancing the concepts and practices of information resources management in modern organizations. IRMA's primary purpose is to promote the understanding, development and practice of managing information resources as key enterprise assets among IRM/IT professionals. IRMA brings together researchers, practitioners, academicians, and policy makers in information technology management from over 50 countries.
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All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.