£113.94

Springer Time Series Analysis, Modeling and Applications Book

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Description

Explore the principles and practice of computational intelligence in this specialized volume from Springer. As temporal and spatiotemporal data become an inherent part of modern society, understanding how to manage data streams is more important than ever. This book addresses the challenges posed by constant data feeds from numerous sensors and various recording sources. This text covers the analysis, design, and interpretation of time series across a wide range of applications. Whether dealing with environmental data, financial markets, or Internet activities, the content provides a computational intelligence perspective on modeling and prediction. It is designed for those looking to understand physical and human-generated phenomena through the lens of data science and intelligent systems.

Key Features

Covers the principles and practical application of computational intelligence for analyzing and designing time series models.

Addresses the complexities of temporal and spatiotemporal data streams from diverse sensor networks and data feeds.

Provides methods for the interpretation and prediction of both physical and human-generated data phenomena.

Applicable to multiple sectors including financial markets, environmental monitoring, and Internet activity analysis.

Part of the Intelligent Systems Reference Library, providing a structured academic approach to data modeling.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 December 2014
Listed Since
04 December 2014

Barcode

No barcode data available

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