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Springer Time Series Analysis Modeling Applications - Computational Intelligence

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Description

Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective is a comprehensive volume from Springer that addresses the growing challenge of analysing temporal and spatiotemporal data streams from diverse sources including sensors, environmental monitoring systems, financial markets and internet activities. This book explores conceptual and algorithmic frameworks for developing accurate and interpretable models capable of handling real-world phenomena. It combines theoretical foundations with practical applications, offering readers both the knowledge and tools needed for effective time series prediction and modelling. Whether you work with physical measurements, human-generated data or complex streaming information, this reference provides structured approaches to understanding and leveraging temporal patterns in your data.

Key Features

Springer publication focused on time series analysis using computational intelligence methods for data-driven applications.

Addresses analysis and modelling of temporal and spatiotemporal data streams from sensors and multiple data sources.

Provides both algorithmic frameworks and conceptual approaches for building accurate predictive models.

Covers real-world applications including environmental data, financial markets and internet activity monitoring.

Part of the Intelligent Systems Reference Library series, offering peer-reviewed research on advanced computational methods.

Designed for practitioners requiring interpretable models that balance accuracy with usability in complex data environments.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 November 2012
Listed Since
16 August 2012

Barcode

No barcode data available

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