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Traffic Mining Applied to Police Activities

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Cover of 'Traffic Mining Applied to Police Activities'

Table of Contents

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    Book Overview
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    Chapter 1 Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data
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    Chapter 2 Advancements in Mobility Data Analysis
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    Chapter 3 Towards a Pervasive and Predictive Traffic Police
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    Chapter 4 A Process Mining Approach to the Identification of Normal and Suspect Traffic Behavior
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    Chapter 5 Detecting Criminal Behaviour Patterns in Spain and Italy Using Formal Concept Analysis
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    Chapter 6 Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion
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    Chapter 7 Reducing the Risk of Accidents with Not Insured British Vehicles in Southern Spain
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    Chapter 8 Unsupervised Classification of Routes and Plates from the Trap-2017 Dataset
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    Chapter 9 Vehicle Classification Based on Convolutional Networks Applied to FMCW Radar Signals
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    Chapter 10 Traffic Data: Exploratory Data Analysis with Apache Accumulo
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    Chapter 11 Exploiting Recurrent Neural Networks for Gate Traffic Prediction
Attention for Chapter 11: Exploiting Recurrent Neural Networks for Gate Traffic Prediction
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