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Springer Big Data Analysis: New Algorithms for a New Society - Springer

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Description

This edited volume explores Big Data Analysis through a Machine Learning lens, featuring contributions from leading researchers in the field. The book demonstrates how Big Data Analysis presents entirely new research challenges that extend beyond traditional statistical approaches, whilst also clarifying the methodological principles that distinguish modern computing frameworks from conventional data analysis. Readers will discover recently developed algorithms with practical applications across business, finance, and forecasting sectors, making this an essential resource for understanding the intersection of Big Data and Machine Learning in contemporary research and industry practice.

Key Features

Edited volume featuring contributions from eminent researchers specialising in Big Data Analysis and Machine Learning methodologies.

Explores new research problems and challenges specific to Big Data that were previously unconsidered or limited in scope.

Contrasts traditional statistical data analysis approaches with newer computing frameworks designed for Big Data processing.

Presents recently developed algorithms applicable to business, financial forecasting, and other practical domains.

Part of the Studies in Big Data series (Volume 16), providing academic rigour and systematic treatment of the subject.

Product Specifications

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

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