£115.87

Springer Recent Advances in Time-Series Classification 264

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Description

Expand your technical knowledge with Recent Advances in Time-Series Classification, part of the Intelligent Systems Reference Library (Volume 264) from Springer. This academic resource focuses on the methodology and applications of time-series classification, providing a structured approach to understanding complex data patterns. Designed for professionals and students in the fields of computer science and artificial intelligence, this book offers insights into modern computational techniques. By exploring various methodologies, readers can better understand how to apply classification models to real-world time-series data. This volume serves as a valuable addition to any library focused on machine learning and intelligent systems, helping to bridge the gap between theoretical frameworks and practical implementation in data science.

Key Features

Part of the Intelligent Systems Reference Library, volume 264, providing a specialized academic foundation.

Covers essential methodologies and practical applications within the field of time-series classification.

Published by Springer, a trusted name in high-quality technical and scientific literature.

Ideal for readers specializing in AI, machine learning, and advanced computer science topics.

Provides a deep look into the systematic study of time-series data patterns and classification.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
27 April 2025
Listed Since
09 October 2024

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No barcode data available

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