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Ferilli, Stefano

Traffic Mining Applied to Police Activities

Ferilli, Stefano - Traffic Mining Applied to Police Activities, ebook

153,75€

Ebook, PDF with Adobe DRM
ISBN: 9783319756080
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Table of contents

Part I. Invited Talks

1. Data and Analytics Framework. How Public Sector Can Profit from Its Immense Asset, Data
Raffaele Lillo

2. Advancements in Mobility Data Analysis
Mirco Nanni

Part II. Technical Contributions

3. Towards a Pervasive and Predictive Traffic Police
Fabio Leuzzi, Emiliano Del Signore, Rosanna Ferranti

4. A Process Mining Approach to the Identification of Normal and Suspect Traffic Behavior
Stefano Ferilli, Domenico Redavid

5. Detecting Criminal Behaviour Patterns in Spain and Italy Using Formal Concept Analysis
Jose Manuel Rodriguez-Jimenez

6. Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion
Jinzhi Liao, Xiang Zhao, Jiuyang Tang, Chong Zhang, Mingke He

7. Reducing the Risk of Accidents with Not Insured British Vehicles in Southern Spain
Jose Manuel Rodriguez-Jimenez, Jesus Cabrerizo, Dario Perez, Ignacio Sanchez

8. Unsupervised Classification of Routes and Plates from the Trap-2017 Dataset
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano

9. Vehicle Classification Based on Convolutional Networks Applied to FMCW Radar Signals
Samuele Capobianco, Luca Facheris, Fabrizio Cuccoli, Simone Marinai

10. Traffic Data: Exploratory Data Analysis with Apache Accumulo
Massimo Bernaschi, Alessandro Celestini, Stefano Guarino, Flavio Lombardi, Enrico Mastrostefano

11. Exploiting Recurrent Neural Networks for Gate Traffic Prediction
Fabio Fumarola, Pasqua Fabiana Lanotte

Keywords: Computer Science, Computer Communication Networks, Transportation Technology and Traffic Engineering, Data Mining and Knowledge Discovery, Operations Research, Management Science

Editor
 
Publisher
Springer
Publication year
2018
Language
en
Edition
1
Series
Advances in Intelligent Systems and Computing
Category
Information Technology, Telecommunications
Format
Ebook
eISBN (PDF)
9783319756080
Printed ISBN
978-3-319-75607-3

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