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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 | ||
| ||
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 | ||
| ||