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Fausto Pedro García Márquez
IGI Global, ISBN13: 9781799801061|ISBN10: 1799801063|EISBN13: 9781799801078|DOI: 10.4018/978-1-7998-0106-1
Publication year: 2020

Editor

Fausto Pedro García Márquez, Ingenium Research Group, University of Castilla-La Mancha, Spain

 

Description

As organizations continue to develop, there is an increasing need for technological methods that can keep up with the rising amount of data and information that is being generated. Machine learning is a tool that has become powerful due to its ability to analyze large amounts of data quickly. Machine learning is one of many technological advancements that is being implemented into a multitude of specialized fields. An extensive study on the execution of these advancements within professional industries is necessary.

The Handbook of Research on Big Data Clustering and Machine Learning is an essential reference source that synthesizes the analytic principles of clustering and machine learning to big data and provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of management. Featuring research on topics such as project management, contextual data modeling, and business information systems, this book is ideally designed for engineers, economists, finance officers, marketers, decision makers, business professionals, industry practitioners, academicians, students, and researchers seeking coverage on the implementation of big data and machine learning within specific professional fields.

Topics Covered

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

  • Behavioral Analytics
  • Business Information Systems
  • Business Mathematics
  • Cohort Analysis
  • Contextual Data Modeling
  • Marketing Analytics
  • Operations Research
  • Project Management
  • Supply Chain Management
  • Telecommunications

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