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Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
Big Data Analytics for Time-Critical Mobility Forecasting [[electronic resource] ] : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (378 pages)
Disciplina 385.0724
Soggetto topico Database management
Mathematical statistics
Transportation engineering
Traffic engineering
Database Management
Probability and Statistics in Computer Science
Transportation Technology and Traffic Engineering
ISBN 3-030-45164-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting.
Record Nr. UNISA-996465364603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Big Data Analytics for Time-Critical Mobility Forecasting : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
Big Data Analytics for Time-Critical Mobility Forecasting : From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains / / edited by George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (378 pages)
Disciplina 385.0724
Soggetto topico Database management
Mathematical statistics
Transportation engineering
Traffic engineering
Database Management
Probability and Statistics in Computer Science
Transportation Technology and Traffic Engineering
ISBN 3-030-45164-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains -- Mobility Data: A Perspective from the Maritime Domain -- The Perspective on Mobility Data from the Aviation Domain -- Part II: Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories -- Visual Analytics in the Aviation and Maritime Domains -- Trajectory Detection and Summarization over Surveillance Data Streams -- Part III: Trajectory Oriented Data Management for Mobility Analytics -- Modeling Mobility Data and Constructing Large Knowledge Graphs to Support Analytics: The datAcron Ontology -- Integrating Data by Discovering Topological and Proximity Relations Among Spatiotemporal Entities -- Distributed Storage of Large Knowledge Graphs with Mobility Data -- Part IV: Analytics Towards Time Critical Mobility Forecasting -- Future Location and Trajectory Prediction -- Event Processing for Maritime Situational Awareness -- Offline Trajectory Analytics -- Part V Big Data Architectures for Time Critical Mobility Forecasting -- The δ Big Data Architecture for Mobility Analytics -- Part VI: Ethical Issues for Time Critical Mobility Analytics -- Ethical Issues in Big Data Analytics for Time Critical Mobility Forecasting.
Record Nr. UNINA-9910410034403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mobility Analytics for Spatio-Temporal and Social Data [[electronic resource] ] : First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers / / edited by Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang
Mobility Analytics for Spatio-Temporal and Social Data [[electronic resource] ] : First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers / / edited by Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (IX, 177 p. 60 illus.)
Disciplina 302.3
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Database management
Computers and civilization
Geographical information systems
Data mining
Computer communication systems
Information Systems Applications (incl. Internet)
Database Management
Computers and Society
Geographical Information Systems/Cartography
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-319-73521-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465499503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mobility Analytics for Spatio-Temporal and Social Data : First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers / / edited by Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang
Mobility Analytics for Spatio-Temporal and Social Data : First International Workshop, MATES 2017, Munich, Germany, September 1, 2017, Revised Selected Papers / / edited by Christos Doulkeridis, George A. Vouros, Qiang Qu, Shuhui Wang
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (IX, 177 p. 60 illus.)
Disciplina 302.3
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Application software
Database management
Computers and civilization
Geographical information systems
Data mining
Computer communication systems
Information Systems Applications (incl. Internet)
Database Management
Computers and Society
Geographical Information Systems/Cartography
Data Mining and Knowledge Discovery
Computer Communication Networks
ISBN 3-319-73521-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910349263403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui