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Web and Wireless Geographical Information Systems

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Cover of 'Web and Wireless Geographical Information Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Improving Sensing Coverage of Probe Vehicles with Probabilistic Routing
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    Chapter 2 Generation of Web-Based GIS Applications Through the Reuse of Software Artefacts
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    Chapter 3 Storing and Clustering Large Spatial Datasets Using Big Data Technologies
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    Chapter 4 An In-depth Analysis of CUSUM Algorithm for the Detection of Mean and Variability Deviation in Time Series
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    Chapter 5 Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing Phase
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    Chapter 6 GeoSPRINGS: Towards a Location-Aware Mobile Agent Platform
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    Chapter 7 Extraction of Usage Patterns for Land-Use Types by Pedestrian Trajectory Analysis
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    Chapter 8 Hierarchical Routing Techniques in Wireless Sensor Networks
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    Chapter 9 Using the Internet of Things to Monitor Human and Animal Uses of Industrial Linear Features
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    Chapter 10 Multigranular Spatio-Temporal Exploration: An Application to On-Street Parking Data
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    Chapter 11 Region-Aware Route Planning
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    Chapter 12 A Web Interface for Exploiting Spatio-Temporal Heterogeneous Data
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    Chapter 13 Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events
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    Chapter 14 From What and When Happen, to Why Happen in Air Pollution Using Open Big Data
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    Chapter 15 A Web of Data Platform for Mineral Intelligence Capacity Analysis (MICA)
Attention for Chapter 4: An In-depth Analysis of CUSUM Algorithm for the Detection of Mean and Variability Deviation in Time Series
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Chapter title
An In-depth Analysis of CUSUM Algorithm for the Detection of Mean and Variability Deviation in Time Series
Chapter number 4
Book title
Web and Wireless Geographical Information Systems
Published by
Springer, Cham, May 2018
DOI 10.1007/978-3-319-90053-7_4
Book ISBNs
978-3-31-990052-0, 978-3-31-990053-7
Authors

Rayane El Sibai, Yousra Chabchoub, Raja Chiky, Jacques Demerjian, Kablan Barbar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 30%
Professor 2 20%
Student > Ph. D. Student 2 20%
Lecturer 1 10%
Unspecified 1 10%
Other 0 0%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 4 40%
Engineering 2 20%
Unspecified 1 10%
Social Sciences 1 10%
Psychology 1 10%
Other 0 0%
Unknown 1 10%