£125.80

About as cheap as it gets — within 5% of the all-time low it hit 1 month ago.

£126 today · all-time low £123 (Sep 2026) · usually £124

Springer Big Data Analytics for Time-Critical Mobility Forecasting - Springer

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£126.25 £122.46 £123.28 £124.11 £124.94 £125.77 £126.60 26 July 2026 13 August 2026 31 August 2026 18 September 2026 07 October 2026
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Price distribution over 74 days • 4 price levels

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17 days 13 days 21 days 23 days · current 0 6 12 17 23 £123 £124 £125 £126 Days at Price

Price Analysis

Most common price: £126 (23 days, 31.1%)

Price range: £123 - £126

Price levels: 4 different prices over 74 days

Description

This Springer book delivers comprehensive guidance on implementing big data solutions for activity detection and forecasting across large networks of moving entities distributed over expansive geographical areas. It explores state-of-the-art methods for processing, managing, detecting and predicting trajectories and critical events related to moving entities, integrating advanced visual analytics techniques across multiple heterogeneous, voluminous, fluctuating and noisy data streams. The book demonstrates how to correlate real-time mobility data with archived sources containing entity characteristics and geographical information, making it essential for professionals working in aviation and maritime domains who need to extract actionable insights from complex trajectory data.

Key Features

Big data solutions for activity detection and forecasting of moving entities across large geographical areas.

State-of-the-art methods for processing and managing trajectory data from multiple heterogeneous and voluminous data streams.

Advanced visual analytics methods for analysing mobility patterns in aviation and maritime domains.

Techniques for correlating real-time moving entity data with archived data sources and geographical information systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
24 June 2021
Listed Since
28 May 2021

Barcode

No barcode data available

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