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Springer Big Data Analysis: New Algorithms for a New Society

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Description

Explore the evolving landscape of data science with Big Data Analysis: New Algorithms for a New Society. This edited volume from Springer provides a deep look into Big Data Analysis through the lens of Machine Learning. Written by eminent researchers in the field, the text addresses the unique research problems created by the rise of massive datasets, many of which were previously unconsidered or limited in scope. This book serves as a comprehensive guide for understanding the shift from traditional statistical data analysis to modern computing frameworks. It provides detailed methodological discussions on the principles of mining Big Data and introduces recently developed algorithms. Readers will gain insights into how these technological advancements affect various sectors, including business applications. Whether you are studying the fundamental differences in data processing or looking for the latest algorithmic developments, this volume offers a professional perspective on the tools shaping our modern society.

Key Features

Machine Learning Perspective: Gain insights from eminent researchers who examine Big Data Analysis through the specific lens of Machine Learning applications.

New Research Frontiers: Discover how massive datasets create unique research problems that differ from traditional data analysis constraints.

Methodological Discussions: Learn the core principles of mining Big Data and how they differ from standard statistical methods.

Modern Computing Frameworks: Understand the transition from traditional data analysis to the newer computing frameworks used in today's technology.

Algorithmic Developments: Access information on recently developed algorithms that impact various professional areas such as business.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
04 January 2016
Listed Since
15 October 2015

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