Handbook of Research on Big Data Clustering and Machine Learning

Author:   Fausto Pedro Garcia Marquez
Publisher:   Business Science Reference
ISBN:  

9781799801061


Pages:   300
Publication Date:   04 October 2019
Format:   Hardback
Availability:   Available To Order   Availability explained
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Handbook of Research on Big Data Clustering and Machine Learning


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Overview

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. Advanced Multi-Industry Applications of 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.

Full Product Details

Author:   Fausto Pedro Garcia Marquez
Publisher:   Business Science Reference
Imprint:   Business Science Reference
Weight:   0.633kg
ISBN:  

9781799801061


ISBN 10:   1799801063
Pages:   300
Publication Date:   04 October 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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