£117.77

Springer Data Science and Big Data - Computational Intelligence

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Description

Explore the rapidly growing intersection of data science and big data with this comprehensive treatise from Springer. Part of the Studies in Big Data series, this book provides an up-to-date look at methodological and algorithmic issues that drive modern research and industry. It serves as a vital resource for understanding how computational intelligence creates new directions for both fundamental and applied research. This text moves beyond theory by discussing real-world implementations and case studies. You will find insights into best design practices and an assessment of how data analytics business models function in the real world. Whether you are looking at applications in health care, administration, or business, this book covers the essential practices used in industry today. It is designed for those needing to understand the practical side of data analytics and the evolving landscape of big data research.

Key Features

Covers a wide range of methodological and algorithmic issues essential for modern data science research.

Includes practical implementations and real-world case studies to bridge the gap between theory and practice.

Identifies best design practices for developing effective data analytics systems and frameworks.

Assesses data analytics business models used across various sectors including health care and administration.

Explores the connection between big data and computational intelligence to reveal new research directions.

Provides industry-focused insights applicable to business, administration, and health care environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
29 March 2017
Listed Since
10 January 2017

Barcode

No barcode data available

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