Mobility Analytics for Spatio-Temporal and Social Data

Name: Mobility Analytics for Spatio-Temporal and Social Data | First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers
Brand: Springer
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First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers

Christos Doulkeridis George A. Vouros Qiang Qu Shuhui Wang(Herausgeber*in)

Springer (Verlag)

Erschienen am 5. Januar 2018

IX, 177 Seiten

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978-3-319-73521-4 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
On Attributed Community Search
1 Introduction
1.1 CS on Keyword-Based Attributed Graphs
1.2 CS on Spatial-Based Attributed Graphs
2 Related Work
2.1 Community Detection (CD)
2.2 Community Search (CS)
3 CS on Keyword-Based Attributed Graphs
3.1 The KAC Query
3.2 Basic Solutions
3.3 The CL-tree Index
3.4 Index Construction
3.5 Query Algorithms
3.6 Experiments
4 CS on Spatial-Based Attributed Graphs
4.1 Problem Definition
4.2 SAC Search Algorithms
4.3 Experimental Results
5 Conclusions and Future Work
References
Data Analytics Enables Advanced AIS Applications
Abstract
1 Introduction
1.1 Dynamic Data
1.2 Static Data
1.3 Safety Related Messages
1.4 Binary Messages
1.5 System Management Messages
2 A Defining Moment for AIS
3 Maritime AIS Data Fidelity
4 Data Analytics
5 Event Management
6 Pattern Recognition
7 Volume of Data
8 Satellite AIS
9 The AIS Maritime Information System Infrastructure
10 VDES: A Step Change in Maritime Data Services?
11 Future Opportunities
12 An Example That Demonstrates the Potential
13 Summary
References
What do Geotagged Tweets Reveal About Mobility Behavior?
1 Introduction
2 Related Work
2.1 Social Media and Social Network Analysis
2.2 Studies on the Mobility of the Users
3 Proposed Approach
3.1 Problem Description
3.2 Methodology
4 Experimental Analysis
4.1 Important Event and Location Activity Analysis
4.2 Most Active and Random Users from Italy and Rome
4.3 Cumulative Distribution Function and Movement
4.4 Discussion
5 Conclusions
References
Edge Representation Learning for Community Detection in Large Scale Information Networks
1 Introduction
2 Related Work
3 Edge Representation Learning Model
4 CD-ERL Algorithm
5 Experiments and Results
5.1 A Running Instance
5.2 Evaluation Metrics
5.3 Baseline Methods
5.4 Dataset
5.5 Result Analysis
5.6 Parameter Sensitivity
6 Conclusion
References
Introducing ADegree: Anonymisation of Social Networks Through Constraint Programming
1 Introduction
2 Preliminaries
2.1 Constraint Programming
2.2 Social Networks as Graphs
3 Related Work
4 Anonymising Social Network: ADegree
4.1 Query of Interest
4.2 ADegree
5 Implementation of ADegree
5.1 ADegree
5.2 Towards Edge Labelling
6 Using ADegree
7 Conclusions
References
JEREMIE: Joint Semantic Feature Learning via Multi-relational Matrix Completion
1 Introduction
2 Related Work
2.1 Automatic Image Annotation
2.2 Attribute-Based Social Media Analysis
2.3 Multi-relational Learning
3 Notations and Preliminaries
4 Approach
4.1 POI Clustering via Mean Shift
4.2 Data Partition with Users and POIs
4.3 JEREMIE Algorithm
4.4 Optimization
5 Experimental Evaluation
5.1 Dataset and Experiment Settings
5.2 Compared Methods
5.3 Automatic Image Annotation
5.4 Image-Based User and POI Retrieval
5.5 Evaluation of Model Effectiveness
5.6 Parameter Sensitivity Analysis
5.7 Space Complexity Analysis
5.8 Time Complexity Analysis
5.9 Efficiency Analysis
6 Conclusion
References
A Big Data Driven Approach to Extracting Global Trade Patterns
Abstract
1 Introduction
2 Related Work
3 Approach
3.1 Distributed Processing
3.2 Step 1: Trajectory Data Cleaning and Preprocessing
3.3 Step 2: Semantic Data Enrichment and Classification (Distributed-Map Phase)
3.4 Step 3: Knowledge Extraction from Trajectories (Distributed-Reduce Phase)
3.5 Step 4: Discovering Alternative Routes
4 Results
5 Conclusion and Future Work
Acknowledgement
References
Efficient Processing of Spatiotemporal Pattern Queries on Historical Frequent Co-Movement Pattern Datasets
1 Introduction
2 Related Work
2.1 Trajectory Indexing and Retrieval
2.2 Mobility Pattern Queries on Trajectory Datasets
2.3 Frequent Pattern Indexing and Management
3 Problem Definition
4 Spatial Range Pattern Queries (SRPQ)
4.1 SFCMP Tree
4.2 LM Query Processing Algorithm
5 Temporal Range Pattern Queries (TRPQ)
5.1 TFCMP Index Structure
5.2 MIF Query Processing Algorithm
6 Spatiotemporal Pattern Queries (STRPQ)
6.1 LM-MIF Query Processing Algorithm
7 Experiments
7.1 Experimental Setup
7.2 Index Construction
7.3 Query Processing
7.4 STRPQ
8 Conclusion and Future Work
References
Exploratory Spatio-Temporal Queries in Evolving Information
1 Introduction
2 Related Work
3 Scenario
4 Evolving and Imprecise Information
4.1 Imprecise Information
5 A Model for Spatio-Temporal Imprecise Information
5.1 Modeling Spatio-Temporal Information
5.2 Exploratory Queries
6 Case Studies
6.1 Central Italy Earthquake
6.2 South England Floods
7 Concluding Remarks and Future Work
References
Efficient Cross-Modal Retrieval Using Social Tag Information Towards Mobile Applications
1 Introduction
2 Preliminary
2.1 Partial Least Squares
3 Trigonal Partial Least Squares
3.1 Trigonal Partial Least Squares Algorithm
3.2 RBF Kernel and Deflation Detail
3.3 Optimization
3.4 Computational Complexity Analysis
3.5 Test TPLS on AVD
4 Experiments
4.1 Experimental Databases
4.2 Evaluation Metric
4.3 Compared Scheme
4.4 Experimental Setting
4.5 Result on Wiki
4.6 Result on Flickr
4.7 Running Time Analysis
4.8 Exhibition of Retrieval Result
5 Conclusion
References
Author Index

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