Advances in spatial and temporal databases: 15th International Symposium, SSTD 2017 : Arlington, VA, USA, August 21-23, 2017 : proceedings
Intro -- Preface -- Organization -- Contents -- Routing and Trajectories -- Multi-user Itinerary Planning for Optimal Group Preference -- 1 Introduction -- 2 Problem Definition and Preliminaries -- 3 Proposed Solutions -- 3.1 Meeting Graph and Node Profit -- 3.2 Greedy Itinerary Construction -- 3.3...
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| Corporate Author: | |
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| Other Authors: | , , , , , , , , , |
| Format: | Conference Paper |
| Language: | English |
| Published: |
Cham
Springer International Publishing AG
2017
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| Series: | Lecture Notes in Computer Science Ser.
v.10411 |
| Subjects: | |
| Online Access: | Aggregator, lizenzpflichtig: https://ebookcentral.proquest.com/lib/kxp/detail.action?docID=6298206
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| Author Notes: | Michael Gertz, Matthias Renz, Xiaofang Zhou, Erik Hoel, Wei-Shinn Ku, Agnes Voisard [und 6 weitere] (eds.) |
MARC
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| 245 | 1 | 0 | |a Advances in spatial and temporal databases |b 15th International Symposium, SSTD 2017 : Arlington, VA, USA, August 21-23, 2017 : proceedings |c Michael Gertz, Matthias Renz, Xiaofang Zhou, Erik Hoel, Wei-Shinn Ku, Agnes Voisard [und 6 weitere] (eds.) |
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| 520 | |a Intro -- Preface -- Organization -- Contents -- Routing and Trajectories -- Multi-user Itinerary Planning for Optimal Group Preference -- 1 Introduction -- 2 Problem Definition and Preliminaries -- 3 Proposed Solutions -- 3.1 Meeting Graph and Node Profit -- 3.2 Greedy Itinerary Construction -- 3.3 Optimal Itinerary Construction -- 3.4 Acceleration via Graph Compression -- 4 Related Work -- 5 Experiments -- 5.1 Experiment Design -- 5.2 Experimental Results -- 6 Discussions and Conclusion -- References -- Hybrid Best-First Greedy Search for Orienteering with Category Constraints -- 1 Introduction -- 2 Related Work -- 3 Problem Formalization -- 4 Best-First Search Strategy -- 4.1 Potential Score -- 4.2 Our Algorithm -- 4.3 Further Optimizations -- 5 Approximation Algorithms -- 5.1 Bounding the Score -- 5.2 Bounding the Run Time -- 6 Properties and Bounds -- 6.1 Correctness of Pruning -- 6.2 Lower Bounding the Score -- 6.3 Upper Bounding the Run Time -- 7 Experimental Evaluation -- 7.1 Data Sets -- 7.2 Effects of Parameters -- 7.3 Comparison with Competitors -- 8 Conclusion and Future Work -- References -- On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data -- 1 Introduction -- 2 Related Work -- 2.1 User Identification -- 2.2 User Linkage -- 2.3 Spatial Privacy -- 3 Problem Definition -- 4 Trajectory Based User Identification -- 4.1 Trace Profile Modeling -- 4.2 Set Descriptors -- 4.3 Transition Descriptors -- 4.4 Classification -- 4.5 User Linkage -- 5 Experimental Evaluation -- 5.1 Accuracy Using Set Descriptors -- 5.2 Accuracy Using Frequent Transitions -- 5.3 Accuracy for Different Observation Counts -- 5.4 User Linkage Between Different Social Networks -- 5.5 Scalability -- 6 Conclusions -- References -- Big Spatial Data -- Sphinx: Empowering Impala for Efficient Execution of SQL Queries on Big Spatial Data. | ||
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